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Fayez Fahim El-Sousy , Prof  - Intelligent Control of Nonlinear Dynamic Systems

Managerial Roles

  • Chairman of Electrical Engineering Department, 2007/2008-2017/2018.
  • EE Labs Committee, 2007-present
  • Academic Accreditation Committee, 2011-present.
  • EE Curriculum Committee.
  • Member of the College Council, 2008-2017.
  • Member of Academic Accreditation Committee, 2011-present.
  • Academic Committee member, 2010- present
  • Strategic Plan Committee, 2011-present.
  • Technical committee coordinator, College of Engineering, 2007-present
  • Reports and statistics committee coordinator, College of Engineering, 2007-present
  • Member of scientific council, Salman bin Abdulaziz University, 2010-2014.
  • Member of ABET Accreditation Committee, 2011-present

Profile

Name: Fayez F. M. El-Sousy

Nationality: Egyptian

Current Affiliation: Professor and Chairman of Electrical Engineering Department, College of Engineering, Salman bin Abdulaziz University

Telephone: 966-11-5888250

URL: http://faculty.psau.edu.sa/f.elsousy

E-mail: f.elsousy@sau.edu.sa

Address: P. O. Box 655 Al-Kharj 11942 Saudi Arabia

Education

General

May, 2000:

Doctor of Philosophy (Ph.D), Cairo University, Faculty of Engineering, Department of Electrical Power and Machines Engineering

Thesis Title:

Microcomputer-Based Field Orientation Control of Induction Machine Drive System Utilizing Optimal Control Technique

April, 1994:

Master of Science (M.Sc.), Cairo University, Faculty of Engineering, Department of Electrical Power and Machines Engineering

Thesis Title:

Control of Induction Machine Using Field Orientation Technique

May 1988:

Bachelor of Science (B.Sc.), Menoufia University, Faculty of Engineering, Department of Electrical Engineering

Project Title:

Thyristor Switching Shunt Reactor Control for AC Voltage Stabilization

Specialization

Doctor of Philosophy (Ph.D), DSP-Based Optimal Control of Induction Machines

Master of Science (M.Sc.), Field Oriented Control of Induction Machines

Bachelor of Science (B.Sc.), Electrical Power and Machines

Thesis

Doctor of Philosophy (Ph.D)

Thesis Title:

Microcomputer-Based Field Orientation Control of Induction Machine Drive System Utilizing Optimal Control Technique

Ph.D Summary

In recent years the control of high-performance induction machine drives for industry applications and production automation has received wide spread research interests. Field oriented control (FOC) of induction machine drive has been developed for high-performance industrial applications, where traditionally, only dc machine drives were available. In perfect field oriented induction machine, the coupling between the d-q axes is eliminated, hence, high-performance of the drive can be obtained. However, the decoupling characteristic of field oriented induction machine drive is sensitive to the machine parameters variations. Thus without applying more sophisticated control techniques and performance specifications, optimization for parameter insensitive property still can not be achieved.

This thesis presents modeling, analysis, design, simulation and implementation of FOC for induction machine drive system to attain optimization for parameter insensitive property. The nonlinear and linear dynamic models of the induction machine in different reference frames are derived. The dynamic analysis of the induction machine in stationary and synchronous reference frames showing the Eigen values are carried out using MATLAB and MAPLEV software. Design of the proposed controllers of currents and speed is presented with the help of the d-q transfer functions of the induction machine at FOC when driven by CRPWM inverter. The proposed controllers are based on the classical and robust H∞ control techniques. The controllers are one degree-of-freedom, (PI and IP), two degree-of-freedom, (simple lag with PI, lead-lag with PI, lead-lag & lag-lead with PI) and Hoptimal controller based on the mixed sensitivity S/KS, S/T and S/KS/T approaches. Digital simulation of the induction machine drive system is carried out using MATLAB/SIMULINK to propose the suitable controller(s) for high-performance indirect field orientation control (IFOC) induction machine drive system considering parameter variation effect. General MATLAB Toolbox for the IFOC of induction machine drive system is created. The simulation results at different operating conditions and disturbances confirm the proposed analysis and design phase.

Design and implementation of the IFOC for induction machine drive system including software and hardware are carried out as experimental prototype for validation of the digital simulation for modeling and control. The experimental prototype consists of a microcomputer and DSP-single board, intelligent power module (IPM) three-phase IGBT inverter, driving circuits, signal conditioning circuits, transducers and the machine. The software of the control system is designed and implemented using SIMULINK for MATLAB with DS1102 DSP board in real time so that speed, IFOC, current control algorithms with different controllers, voltage command estimation algorithms and PWM control signals are all executed by microcomputer and DSP. The aim is to use the optimal-performance microcomputer and DSP-based to realize and to experimentally verify the proposed control system design methodology for IFOC induction machine drives.

The experimental results are given and recorded at different operating conditions to examine the validity of the induction machine drive system and to show agreement with the simulation results.

Scope of the Work

This thesis presents the modeling, dynamic analysis, steady state analysis, control system design, simulation and implementation of a field orientation control for induction machine drive system.

The thesis consists of eight chapters. Chapter (1) introduces an introduction to the high performance induction machine drive system requirements. The classification of the main controllers and their utilization in high performance application are given. The field orientation control principles for induction machine are also presented. The phases of control design for the induction machine drive system and the techniques for controller design are provided.

The mathematical formulation of d-q models of the induction machine in different reference frames are carried out and presented in Chapter (2). The equations of each model are derived. The state equations of the induction machine in arbitrary, stationary and synchronously rotating reference frames are developed. The signal flow diagrams of the induction machine in d-q stationary and synchronous reference frames are also provided. These diagrams show the input variables, output variables and manipulated variables and also the block diagrams of the induction machine. The dynamic analysis of the induction machine in stationary and synchronous reference frames showing the eigen values are carried out using MATLAB and MAPLEV softwares.

In Chapter (3), field orientation control dynamics of induction machine are explained. The classification of field orientation control schemes according to their types is introduced. Each type of field orientation control is discussed with the help of the block diagrams. The three orientation schemes for flux models are developed. The common types of current controllers for field orientation control are discussed with their advantages and disadvantages. The d-q transfer functions of the induction machine at field orientation in synchronous reference frame are derived in order to design the different controllers of currents, fluxes and speed.

Analysis and design of the IFOC induction machine drive system is introduced in Chapter (4). This chapter introduces the design of currents and speed controllers based on different classical control techniques using the transfer functions that are derived in Chapter (3). Different controllers have been proposed and designed based on the classical control techniques. The controllers are one degree-of-freedom , 1DOF, (PI and IP), two degree-of-freedom, 2DOF, (simple lag with PI, lead-lag with PI, lead-lag & lag-lead with PI). Chapter (5) includes the design of optimal controllers for currents and speed based on Hmixed sensitivity optimization control technique.

Chapter (6) introduces the simulation of all components in the IFOC induction machine drive system. The simulation is carried out using MATLAB software. The drive system components constitute a MATLAB Toolbox for the IFOC of induction machine drive system in general form. This Toolbox can be used for any induction machine with any parameters. The simulation results of the IFOC induction machine drive system are also presented in this Chapter using the different controllers for speed and currents. The study of different operating conditions and disturbances are also introduced.

The implementation phase of the indirect field orientation control (IFOC) of induction machine drive system including software and hardware is presented in Chapter (7). The hardware of the drive system components are three-phase bridge rectifier, power L-C filter to obtain pure DC source which is the input to the inverter, intelligent power module (IPM) three-phase IGBT inverter, signal conditioning circuits, isolation circuits, driving circuits, protection circuits, DSP board (dSPACE DS1102), power supply unit for the whole drive system and 1.5 kW induction machine. The software of the control system is designed using SIMULINK for MATLAB and implemented with DSP board. The program is designed to input the measuring feedback signals, the field orientation controller, current controllers, and speed controller with different techniques. Also, this Chapter deals with the experimental results of the dynamic response of the indirect field orientation control of induction machine drive system. The response of each stage in the implemented control system are presented as waveforms. Comparison between the simulation and practical results are also presented. The results confirm the proposed design procedures

The thesis covers the following novel articles:

1-The transfer function of the current loops in d-q axis and speed loop for induction machine.

2-Detailed analysis and design for the PI, IP and 2DOF controllers of current and speed using different techniques.

3-Detailed analysis and design for the Hcontrollers for current and speed.

4-Generalized IFOCIMDS Toolbox using SIMULINK for MATLAB.

5-The design and implementation of the hardware and software control program for the IFOC of induction machine drive system using DS1102 DSP board with RTI and RTW of MATLAB/SIMULINK.

Master of Science (M.Sc.)

Thesis Title:

Control of Induction Machine Using Field Orientation Technique

M.Sc. Summary

Induction machines are frequently used in variable speed drives in many applications. Field oriented control means, in general, decoupled flux linkage and torque control yielding fast torque response of ac machine to immulate dc machine. Thus induction machine can replace dc machine in various applications to get use of the numerous advantages of induction machine drive systems.

In this research vectorial models for induction machine are developed in different reference frames. The rotor flux orientation model provides purely decoupling between the flux and torque and adequate for digital implementation in field oriented control system.

The treatment of field oriented control of induction machine drives using the concepts of general flux orientation is presented for indirect (feed forward) and direct (feedback) current field orientation control. Indirect field orientation current control is thoroughly investigated for application in current regulated pulse width modulation inverter. The commonly used types of current controllers for field orientation control are the hysteresis and the ramp comparison controllers. The ramp comparison controller is preferred in this work because of the accompanied advantages.

The constant stator flux , air gap flux and rotor flux steady state operation of the induction machines treated in details with corresponding torque speed and torque slip frequency characteristics. A comparison between the three flux orientation choices is discussed in terms of torque capability and easy for implementation. Only for a constant rotor flux orientation, the mechanical characteristic is linear which makes it ideal for control applications. Parameter detuning affects the torque capability and the flux in field oriented induction machine. These effects of detuning are investigated.

The rotor flux orientation controller (the inverse of rotor flux orientation model) is more adequate to be implemented in software. Digital software and hardware required for the field orientation control are developed using 80286 microcomputer. Also, the work includes the design and implementation of the 3-phase PWM MOSFET inverter. Test results on the field orientation control and inverter when applied to a 1.5 KW induction machine are presented. The results show that the drive system has good steady state performance and capable to fulfil various application requirements.

Scope of the Work

This thesis presents the design, modelling, steady state analysis and implementation of a field orientation control for a drive system employing an induction machine.

The thesis consists of eight chapters. The vectorial and d-q models of the induction machine in different reference frames are presented in Chapter (2). The equations of each model are derived. The three orientation modes for flux models are developed.

In Chapter (3), the first basic idea of field orientation control is explained. The classification of field orientation control according to its types is presented. Each type of field orientation control is discussed with the help of the block diagrams. The common types of current controllers for field orientation control are discussed with the advantages and disadvantages of each.

Torque capabilities of field oriented induction machine are presented in Chapter (4) when using rotor flux control. These capabilities of field orientation torque are studied and investigated as function of the torque command ratio. The flux selection in field oriented induction machine is investigated in relation to the maximum torque requirements and inverter current. Normalization of flux and torque in field orientation control of induction machine is explained. The normalized equations are derived to discuss the effect of detuning.

The design and implementation of indirect field orientation controller including software and hardware is presented in Chapter (5). The coordinate transformations for field orientation controller including current controllers are developed by assembly language. Digital interfacing board and signal conditioning circuits are also presented in Chapter 5. Chapter 6 introduces the design and implementation of the 3-phase MOSFET inverter. The proposed simple driving circuitry for the inverter is presented.

Chapter (7) deals with the experimental results of the field orientation control system. The results of each stage in the implemented control system are presented as waveforms. The machine voltages and currents and the corresponding harmonic spectrum are presented also.

Achievements

1- Certificate of Appreciation and Recognition, Vice-Rectorate for Graduate Studies and Scientific Research, Salman bin Abdulaziz University, 2014.

2- Certificate of Appreciation and Recognition, Deanship of Students Affairs, Salman bin Abdulaziz University, 2013.

3- Certificate of Appreciation and Recognition, Deanship of Scientific Research for Publication in High Impact Factor International Journals, Salman bin Abdulaziz University, 2012.

4- Certificate of Appreciation and Recognition, College of Engineering, Salman bin Abdulaziz University, 2012.

5- Certificate of Appreciation and Recognition, College of Engineering, Al-Kharj University, 2010.

6- Attending 20 International Conferences (2001-2014).

7- King Saud University announced prize for the College of Engineering in Al-Kharj for personal website as the best one, 2009.

8- Scholarship for Visiting Researcher, Faculty of Engineering, Graduate School of Information Science and Electrical Engineering, Energy Conversion Laboratory, Kyushu University, Fukuoka, Japan. April 2004 –October 2004.

9- Scholarship for Visiting Researcher, Faculty of Engineering, Graduate School of Information Science and Electrical Engineering, Energy Conversion Laboratory, Kyushu University, Fukuoka, Japan. January 2007 – February 2007.

10- Certificate of Appreciation and Recognition, Cairo University, 2000.

11- Certificate of Appreciation and Recognition, Cairo University, 1994.

12- Certificate of Appreciation and Recognition, Menoufia University, 1988.

13- Award of High Honor, Menoufia University, 1983-1988.

Experiences

Department Chairman

1. Chairman of Electrical Engineering Department, 2008-present.

Department Committees:

1. EE Labs Committee, 2007-present

2. Academic Accreditation Committee, 2011-present.

3. EE Curriculum Committee.

College Committees

1. Member of the College Council, 2008-present.

2. Member of Academic Accreditation Committee, 2011-present.

3. Academic Committee member, 2010- present

4. Strategic Plan Committee, 2011-present.

5. Technical committee coordinator, College of Engineering, 2007-present

6. Reports and statistics committee coordinator, College of Engineering, 2007-present

University Activities

1. Member of scientific council, Salman bin Abdulaziz University, 2010-2014.

2. Member of ABET Accreditation Committee, 2011-present

Research

Publications:                                                                                                       

(A) International Journals:                                                                                                     

  1. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Intelligent Adaptive Dynamic Surface Control System with Recurrent Wavelet Elman Neural Networks for DSP-Based Induction Motor Servo Drives,” Accepted in the IEEE Transactions on Industry Application, vol. 55, no. 2, pp. xx - xx, March./April 2019.
  2. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Adaptive Nonlinear Disturbance Observer Using Double Loop Self-Organizing Recurrent Wavelet-Neural-Network for Two-Axis Motion Control System,” IEEE Transactions on Industry Applications, vol. 54, no. 1, pp. 764 - 786, Jan./Feb. 2018.
  3. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Self-Organizing Recurrent Fuzzy Wavelet Neural Network-Based Mixed H2/H¥ Adaptive Tracking Control for Uncertain Two-Axis Motion Control System,” IEEE Transactions on Industry Applications, vol. 52, no. 6, pp. 5139-5155, Nov./Dec. 2016.
  4. Fayez F. M. El-Sousy, “Intelligent Mixed H2/H¥ Adaptive Tracking Control System Design Using Self-Organizing Recurrent Fuzzy-Wavelet-Neural-Network for Uncertain Two-Axis Motion Control System”, Applied Soft Computing Journal (Elsevier), vol. 41, no. 4, pp. 22-50, April 2016.
  5. Fayez F. M. El-Sousy, “Adaptive hybrid control system using a recurrent RBFN-based self-evolving fuzzy-neural-network for PMSM servo drives”, Applied Soft Computing Journal (Elsevier), vol. 21, no. 9, pp. 509-532, August 2014.
  6. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Adaptive Recurrent Functional-Link-Based Petri Fuzzy-Neural-Network Controller for a DSP-Based Induction Motor Servo Drive System”, WSEAS Transactions on Circuits and Systems, vol. 13, pp. 381-404, August 2014.
  7. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Intelligent Adaptive Backstepping H¥ Tracking Control System for a DSP-Based PMSM Servo Drive”, International Journal of Circuits, Systems, and signal processing, vol. 8, pp. 441-463, August 13, 2014.
  8. Fayez F. M. El-Sousy, “Intelligent Hybrid Controller for Identification and Control of Micro Permanent-Magnet Synchronous Motor Servo Drive System Using Petri Recurrent-Fuzzy-Neural-Network”, WSEAS Transactions on Systems and Control, vol. 9, pp. 336-355, July 2014.
  9. Fayez F. M. El-Sousy, “Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive”, IEEE Transactions on Industrial Informatics, vol. 9, no. 4, pp.1922-1936, Nov. 2013.
  10. Fayez F. M. El-Sousy, “Intelligent Optimal Recurrent Wavelet Elman Neural Network Control System for Permanent-Magnet Synchronous Motor Servo Drive”, IEEE Transactions on Industrial Informatics, vol. 9, no. 4, pp.1986-2003, Nov. 2013.
  11. Fayez F. M. El-Sousy, “Robust Recurrent Wavelet Interval Type-2 Fuzzy-Neural-Network Control for a DSP-Based PMSM Servo Drive System”, Journal of Power Electronics (JPE), vol. 13, no. 1, pp. 139-160, Jan. 2013.
  12. Fayez F. M. El-Sousy, “Hybrid recurrent cerebellar model articulation controller-based supervisory H¥ motion control system for permanent-magnet synchronous motor servo drive”, IET—Electric Power Application vol. 5, no. 7, pp. 563–579, Aug. 2011.
  13. Fayez F. M. El-Sousy, “Robust wavelet–neural–network sliding–mode control system for permanent magnet synchronous motor drive”, IET—Electric Power Application, vol. 5, no. 1, pp. 113–132, Jan. 2011.
  14. Fayez F. M. El-Sousy, “Robust Adaptive Wavelet-Neural-Network Sliding-Mode Control for a DSP-Based PMSM Drive System”, Journal of Power Electronics (JPE), vol. 10, no. 5, pp. 518-527, 2010.
  15. Fayez F. M. El-Sousy, “Robust adaptive H¥ position control via a wavelet-neural-network for a DSP-based permanent-magnet synchronous motor servo drive system”, IET—Electric Power Application, vol. 4, no. 5, pp. 333–347, May 2010.
  16. Fayez F. M. El-Sousy, “Hybrid H¥–Based Wavelet-Neural-Network Tracking Control for Permanent-Magnet Synchronous Motor Drives”, IEEE Transactions on Industrial Electronics, vol. 57, no. 9, pp. 3157-3166, September 2010.
  17. Fayez F. M. El-Sousy, “Robust Tracking Control Based on Intelligent Sliding-Mode Model-Following Position Controller for PMSM Servo Drives”, Journal of Power Electronics (JPE), vol. 7, No. 2, pp. 159‑173, April, 2007.
  18. Fayez F. M. El-Sousy, “Robust Adaptive Tracking Control of PMSM Drives Using Neural-Network Model-Following Response for Electric Vehicles”, WSEAS Transactions on Signal Processing, Issue 5, Vol. 2, pp. 589‑596, May, 2006.
  19. Fayez F. M. El-Sousy, Mohamed Orabi and Hatem Godah, “Maximum Power Point Tracking Control Scheme for Grid Connected Variable Speed Wind Driven Self-Excited Induction Generator”, Journal of Power Electronics (JPE), Vol. 6, No. 1, pp. 52‑66, January, 2006.
  20. Kinjiro Yoshida, M. El-Nemr and Fayez F. M. El-Sousy, “Propulsion and Levitation H¥ Optimal Control of Underwater Linear Motor Vehicle ME02”, WSEAS Transactions on Systems, Issue 7, Vol. 4, pp. 1009‑1016, July 2005.
  21. Fayez F. M. El-Sousy and Maged N. F. Nashed, “Fuzzy Adaptive Neural-Network Model-Following Speed Control for PMSM Drives”, WSEAS Transactions on Systems, Issue 4, Vol. 4, pp. 265‑261, April, 2005.
  22. Fayez F. M. El-Sousy, “A Vector-Controlled PMSM Drive with a Continually On-Line Learning Hybrid Neural-Network Model-Following Speed Controller”, Journal of Power Electronics (JPE), Vol. 5, No. 2, pp. 197‑210, April 2005.
  23. Fayez F. M. El-Sousy, “A High-Performance Induction Motor Drive with 2DOF I-PD Model-Following Speed Controller”, Journal of Power Electronics (JPE), Vol. 4, No. 4, pp. 198‑209, October, 2004.
  24. Fayez F. M. El-Sousy and Maged N. F. Nashed, “PID-Fuzzy Logic Position Tracking Controller for Detuned Field-Oriented Induction Motor Servo Drive”, WSEAS Transactions on Systems, Issue 2, Vol. 3, pp. 707‑713, April, 2004.
  25. Fayez F. M. El-Sousy and M. M. Salem, “High Performance Simple Position Neuro-Controller for Field-Oriented Induction Motor Servo Drives”, WSEAS Transactions on Systems, Issue 2, Vol. 3, pp. 941‑950, April, 2004.
  26. Fayez F. M. El-Sousy and M. M. Salem, “A Simple On-Line Trained Neuro-Controllers for Vector Controlled Induction Motor Drive”, Scientific Bulletin, Faculty of Engineering, Ain Shams University, Part II, Electrical Engineering, Cairo, Egypt, Vol. 39, No. 1, pp. 673‑687, March 31, 2004.
  27. Fayez F. M. El-Sousy and M. M. Salem, “Simple Neuro-Controllers for Field Oriented Induction Motor Servo Drive System”, Journal of Power Electronics (JPE), Vol. 4, No. 1, pp. 28‑38, January 2004.
  28. Fayez F. M. El-Sousy and Maged N. F. Nashed, “Robust Fuzzy Logic Current and Speed Controllers for Field-Oriented Induction Motor Drive”, Journal of Power Electronics (JPE), Vol. 3, No. 2, pp. 115‑123, April 2003.
  29. Fayez F. M. El-Sousy, “Nonlinear Adaptive Backstepping Control-Based Dynamic Recurrent RBFN Uncertainty Observer for High-Speed Micro Permanent-Magnet Synchronous Motor Drive System,” IEEE Energy Conversion Congress & EXPO Conference, Portland, Oregon, USA, September 23-27, 2018.
  30. Fayez F. M. El-Sousy, “Nonlinear Robust Optimal Control via Adaptive Dynamic Programming of Permanent-Magnet Linear Synchronous Motor Drive for Uncertain Two-Axis Motion Control System,” IEEE Industry Application Society (IAS), 53th Annual Meeting Conference, Portland, Oregon, USA, September 23-27, 2018.
  31. Fayez F. M. El-Sousy, “Adaptive Self-Organizing Recurrent RBFN-Based Dynamic Surface Control for Linear Induction Motor Drive System with Dynamic Uncertainties,” IEEE Industry Application Society (IAS), 53th Annual Meeting Conference, Portland, Oregon, USA, September 23-27, 2018.
  32. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Intelligent Adaptive Dynamic Surface Control System with Recurrent Wavelet Elman Neural Networks for DSP-Based Induction Motor Servo Drives,” IEEE Industry Application Society (IAS), 52th Annual Meeting, Cincinnati, Ohio, USA, October 1-5, 2017.
  33. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Robust Adaptive Dynamic Surface Control Using Recurrent Cerebellar Model Articulation Controller-Based Function Link Neural Network for Two-Axis Motion Control Systems,” IEEE Industry Application Society (IAS), 52th Annual Meeting, Cincinnati, Ohio, USA, October 1-5, 2017.
  34. B. Mrabet, A. Hussein, Fayez F. M. El-Sousy and A. Chammam, “Assessment and Evaluation Method of Student Outcomes Developed for Graduation  Project Course in Engineering Program,” 8th IFEE2017 and 3rd TSDIC2017, Sharjah, UAE, April 18 – 20, 2017.
  35. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Adaptive Nonlinear Disturbance Observer Using Double Loop Self-Organizing Recurrent Wavelet-Neural-Network for for Two-Axis Motion Control System,” IEEE Industry Application Society (IAS), 51th Annual Meeting, Portland, Oregon, USA, October 2-6, 2016.
  36. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Self-Organizing Recurrent Fuzzy Wavelet Neural Network-Based Mixed H2/H¥ Adaptive Tracking Control for Uncertain Two-Axis Motion Control System,” IEEE Industry Application Society (IAS) 50th Annual Meeting Conference, Dallas, Texas, USA, October 18-22, 2015.
  37. B. Mrabet, A. Hussein, Fayez F. M. El-Sousy and A. Chammam, “Design and implementation of a direct and indirect assessment method of students outcomes for engineering courses,” 7th International Forum on Engineering Education , Sharjah, UAE, March 17-19, 2015.
  38. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “DSP-Based Intelligent Adaptive Control System Using Recurrent Functional-Link-Based Petri Fuzzy-Neural-Network for Servo Motor Drive,” The 14th International Conference on Robotics, Control and Manufacturing Technology, pp. 23-40, Kuala Lumpur, Malaysia, April 23-25, 2014.
  39. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “High-Precision Intelligent Adaptive Backstepping H¥ Control for PMSM Servo Drive Using Dynamic Recurrent Fuzzy-Wavelet-Neural-Network,” The 2nd International Conference on Intelligent Control, Modelling and Systems Engineering (ICMS '14), pp. 75-95, Cambridge, MA, USA, January 29-31, 2014.
  40. Fayez F. M. El-Sousy, “Robust Hybrid Control Using Recurrent Wavelet-Neural-Network Sliding-Mode Controller for Two-Axis Motion Control System”, The 2013 International Conference on Systems, Control, Signal Processing and Informatics (SCSI’13), pp. 268-278, Rhodes Island, Greece July 16-19, 2013.
  41. Fayez F. M. El-Sousy, “Robust Petri Recurrent-Fuzzy-Neural-Network Sliding-Mode Control for Micro-PMSM Servo Drive System,” 8th WSEAS International Conference on Dynamical Systems and Control (CONTROL’12), pp. 66-75, Porto, Portugal, July 1-3, 2012.
  42. M. M. Neam, Fayez F. M. El-Sousy, M. A. Ghazy and M.A. Abu-Adma, “DC-Bus Voltage Control of Three-Phase AC/DC PWM Converters for Renewable Energy Applications,” International Electric Machine and Drives Conference (IEMDC09), Miami, Florida USA, May 3-6, 2009.
  43. Fayez F. M. El-Sousy, “An Intelligent Model-Following Sliding-Mode Position Controller for PMSM Servo Drives”, 4th IEEE International Conference on Mechatronics (ICM2007), Kumamoto, Japan,  May 8-10, 2007, CD-ROM.
  44. M. M. Neam, Fayez F. M. El-Sousy, M. A. Ghazy and M.A. Abu-Adma, “The dynamic performance of an isolated self-excited induction generator driven by a variable-speed wind turbine,” International Conference on CLEAN ELECTRICAL POWER (ICCEP) Renewable Energy Resources Impact, Vol. I, pp. 536-543, Capri – Italy, May 21st-23rd, 2007.
  45. M. M. Neam, Fayez F. M. El-Sousy, M. A. Ghazy and M.A. Abu-Adma, “Intelligent control for DC-bus voltage of three-phase AC/DC PWM converters,” The 1st International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), Vol. I, pp. 311-317, Setúbal, Portugal, April 12-14, 2007.
  46. Fayez F. M. El-Sousy, “Robust Adaptive Sliding-Mode Fuzzy-Neural-Network Model-Following Position Control of PMSM Servo Drives for Robotic Applications”, The Twelfth International Symposium on Artificial Life and Robotics (AROB 12th’07), Oita, Japan, pp. 36‑41, January 25-27, 2007, CD-ROM.
  47. M. M. Neam, Fayez F. M. El-Sousy, M. A. Ghazy and M.A. Abu-Adma, “The dynamic performance of an isolated self-excited induction generator driven by a variable-speed wind turbine,” Mepcon 2006 Conf., Vol. I, pp. 167-174, December. 2006.
  48. Fayez F. M. El-Sousy, “An Adaptive Neural-Network Model-Following Speed Control of PMSM Drives for Electric Vehicle Applications”, 9th WSEAS International Conference on Applied Mathematics (MATH'06), Istanbul, Turkey, pp. 412‑417, May 27-29, 2006, CD-ROM.
  49. Kinjiro Yoshida, M. El-Nemr and Fayez F. M. El-Sousy, “Propulsion and Levitation H¥ Optimal Control of Underwater Linear Motor Vehicle ME02”, 9th WSEAS International Conference on Systems, Athens, Greece, July 11‑13, 2005. CD-ROM.
  50. Fayez F. M. El-Sousy, “Intelligent Model-Following Position Control for PMSM Servo Drives”, 6th WSEAS International Conference on Neural Networks, Lisbon, Portugal, pp. 230‑238, June 16‑18, 2005. CD-ROM.
  51. Fayez F. M. El-Sousy and Maged N. F. Nashed, “Fuzzy Adaptive Neural-Network Model-Following Speed Control for PMSM Drives”, 6th WSEAS International Conference on Fuzzy Systems, Lisbon, Portugal, pp. 83‑88, June 16‑18, 2005. CD-ROM.
  52. K. Yoshida, M. El-Nemr and Fayez. F. M. El-Sousy, “H Optimal Control of High Speed PM LSM Maglev Vehicle”, 1st IFAC International Workshop on Advanced Control Circuits and Systems (ACCS05), Cairo, Egypt, March 6‑10, 2005. CD-ROM.
  53. Fayez. F. M. El-Sousy, “Intelligent Hybrid Neural-Network Model-Following Speed Controller for Vector Controlled pmsm Drive System”, 1st IFAC International Workshop on Advanced Control Circuits and Systems (ACCS05), Cairo, Egypt, March 6‑10, 2005. CD-ROM.
  54. Fayez. F. M. El-Sousy and Hatem Godah, “High-Performance Control of Self-Excited Induction Generator for Wind Energy Conversion System Using Rotor Flux Orientation”, 1st IFAC International Workshop on Advanced Control Circuits and Systems (ACCS05), Cairo, Egypt, March 6‑10, 2005. CD-ROM.
  55. Fayez F. M. El-Sousy, “High-Performance Neural-Network Model-Following Speed Controller for Vector-Controlled PMSM Drive System”, IEEE International Conference on Industrial Technology (IEEE ICIT 04), Tunisia, December 8‑10, 2004. CD-ROM.
  56. Fayez. F. M. El-Sousy, Mohamed Orabi and Hatem Godah, “High-Performance Control of Self-Excited Induction Generator for Wind Energy Conversion System Using Rotor Flux Orientation,” 4th WSEAS Int. Conf. on SIMULATION, MODELLING AND OPTIMIZATION (ICOSMO 2004), Izmir, Turkey, September 14-16, 2004, CD-ROM.
  57. Fayez. F. M. El-Sousy, Mohamed Orabi and Hatem Godah, “Maximum Power Point Tracking Control of Grid Connected Self-Excited Induction Generator for Wind Energy Applications,” 4th WSEAS Int. Conf. on POWER SYSTEMS AND ELECTROMAGNETIC COMPATIBILITY (ICOPEMC 2004), Izmir, Turkey, September 14-16, 2004, CD-ROM.
  58. Mohamed Orabi, Fayez F. M. El-Sousy, Hatem Godah and M.Z. Youssef, “High-Performance Induction Generator-Wind Turbine Connected to Utility Grid”, INTELEC 2004, Chicago, USA, Sept. 19‑23, 2004. CD-ROM.
  59. Fayez F. M. El-Sousy, “2DOF I-PD Model-Following Speed Controller for Field-Oriented Induction Motor Drive”, 8th WSEAS International Conference on Systems, Athens, Greece, July 12‑14, 2004. CD-ROM.
  60. Fayez F. M. El-Sousy, “Hybrid Neural-Network Model-Following Speed Controller with On-Line Learning for Vector-Controlled PMSM Drive”, 8th WSEAS International Conference on Systems, Athens, Greece, July 12‑14, 2004. CD-ROM.
  61. Fayez F. M. El-Sousy and Maged N. F. Nashed, “PID-Fuzzy Logic Position Tracking Controller for Detuned Field-Oriented Induction Motor Servo Drive”, 5th WSEAS International Conference on Fuzzy Sets and Fuzzy Systems (FSFS'04), Udine-Italy, March 25‑27, 2004. CD-ROM.
  62. Fayez F. M. El-Sousy and M. M. Salem, “High Performance Simple Position Neuro-Controller for Field-Oriented Induction Motor Servo Drives”, 5th WSEAS International Conference on: Neural Network and Applications (NN'04), Udine-Italy, March 25‑27, 2004. CD-ROM.
  63. Fayez F. M. El-Sousy and Maged N. F. Nashed, “Robust Fuzzy Logic Current and Speed Controllers for Field-Oriented Induction Motor Drive”, The Fourth International Conference on Intelligent Processing and Manufacturing of Materials (IPMM'03), Sendai-Japan, May 18-23, 2003. CD-ROM.
  64. Fayez F. M. El-Sousy and Maged N. F. Nashed, “Robust Fuzzy Logic Current and Speed Controllers for Field-Oriented Induction Motor Drive”, The 7th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS'03), Nara-Japan, May 19‑23, 2003. CD-ROM.
  65. Faeka M.H. Khater, Fayez F. M. El-Sousy and Farouk I. Ahmed, “DSP-Based Implementation of  H¥  Optimal Controller for IFOC Induction Machine Drive System”, 2002 Japan-USA Symposium on Flexible Automation, Hiroshima, Japan, July 14‑19, 2002. CD-ROM.
  66. Fayez F. M. El-Sousy and M. M. Salem, “Robust Neural Network Controllers for Indirect Field Orientation Control of Induction Machine Drive System”, The 2002 International Conference on Control and Automation (ICCA’02), Xiamen, China, June 16‑19, 2002. CD-ROM.
  67. Fayez F. M. El-Sousy, “Design and Implementation of 2DOF I-PD Controller for Indirect Field Orientation Control Induction Machine Drive System”, ISIE 2001 IEEE International Symposium on Industrial Electronics, Pusan, Korea, pp. 1112‑1118, June 12‑16, 2001.
  68. Fayez F. M. El-Sousy, Faeka M. H. Khater and Farouk I. Ahmed, “Design of One-Degree and Two-Degrees of Freedom Controllers for Indirect Field Orientation Control Induction Machine Drive System”, IEEE Canadian Conference on Electrical and Comnputer Engineering (CCECE), Toronto, Canada, May 13‑16, 2001. CD-ROM.
  69. Fayez  F. M. El-Sousy, Faeka M. H. Khater and Farouk I. Ahmed, “Design of Optimal Controller for Induction Machine Drives”, The Proceedings of Japan-USA Symposium on Flexible Automation, USA , July 23‑26, 2000. CD-ROM.
  70. Fayez F. M. El-Sousy, Faeka M. H. Khater and Farouk I. Ahmed, “Analysis and Design of Indirect Field Orientation Control for Induction Machine Drive System”, Proceeding of the 38th SICE annual conference, SICE’99, Iwate, Japan, pp. 901‑908, July 28‑30, 1999.
  71. Faeka M. H. Khater, Fayez F. M. El-Sousy and Mohamed I. Abu El-Sebah, “Design and Implementation of Data Acquisition Interfacing Circuits for Field Oriented Control Systems”, Proc. of SICE’97 Annual Conf., Tokushima, Japan, pp. 1305‑1309, July 29‑31, 1997.
  72. Fayez F. M. El-Sousy and Faeka M. H. Khater, “High precision speed measurement in microcomputer-based field-oriented induction motor drive”, Proc. of the Japan-USA Symposium on Flexible Automation, Boston, USA , pp. 371‑374, July 7‑10, 1996.
  73. Faeka M. H. Khater and Fayez F. M. El-Sousy, “Design and implementation of field oriented controller for induction machine”, Proc. of Singapore Int. Conf. on Intelligent Control and Instrumentation (IEEE SICICI'95), Singapore, pp. 126‑131, July 1‑8, 1995.
  74. Faeka M. H. Khater and Fayez. F. M. El-Sousy, “Torque capability and flux selection in field-oriented induction machine”, Proc. of the International Conference on Electric Machines, Australia, pp. 474‑479, September 14‑17, 1993.

(C) UNDER REVIEW:                                                                                                                               

  1. Fayez F. M. El-Sousy and Khaled A. Abuhasel, “Robust Adaptive Dynamic Surface Control Using Recurrent Cerebellar Model Articulation Controller-Based Function Link Neural Network for Two-Axis Motion Control Systems,” Under Review on the IEEE Transactions on Industry Applications.
  2. Fayez F. M. El-Sousy, “Adaptive Dynamic Surface Control System with Recurrent Self-Evolving Fuzzy Neural Network for Linear Induction Motor Drive System,”
  3. Fayez F. M. El-Sousy, “Nonlinear Disturbance Observer-Based Dynamic Surface Control Using Interval Type-2 Fuzzy Wavelet Fuzzy Neural Network for Linear Induction Motor Drive System,”
  4. Fayez F. M. El-Sousy, “Optimal Computed Torque Control Using Self-Organizing Recurrent Cerebellar Model Articulation Controller for Two-Axis Motion Control Systems,”

Trainings

Professional Training 

1-      ABET Institute for the Development of Excellence in Assessment Leadership (IDEAL), Baltimore, Maryland, USA, August 4-7, 2014.

2-      Leadership Training Workshop, March 2, 2013.

3-      Program Specifications and Report, September 18-19, 2012.

4-      Planning and Implementation of Self Study for Program Accreditation, February 15-16, 2011.

5-      Strategic Planning in Higher-Education Institutions, October 9-10, 2010.

Interests

Research Interests

Research interests are in the areas of modeling and control of motor drives, motion-control systems, wind energy systems, DSP-based computer control systems, intelligent control theories including fuzzy logic, neural network and wavelets, nonlinear control theories and power electronics, intelligent control of Maglev vehicle transportation system, computatinal intelligence of power electronics and electric drive systems.

Research Interests are in the Following Areas:

  • Modeling and control of motor drives,
  • Two-Axis Motion-control systems,
  • Wind energy systems,
  • DSP-based computer control systems,
  • Intelligent control theories including fuzzy logic, neural networks, wavelet-neural-network (WNN), fuzzy-neural-network (FNN), radial basis function network (RBFN), Elman neural-network (ENN), Interval Type-2 FNN, Self-evolving FNN, Self-organizing FNN,
  • Nonlinear control theories, Robust Control, Optimal Control, H2/H Control, Sliding-Mode Control, Non-Linear Sliding-Mode Control, Hybrid Control, Stability Analysis, Improved Particle Swarm Optimization,
  • Intelligent control of Maglev vehicle transportation system,
  • Computational intelligence of power electronics and electric drive systems.

Consultant Interests 

Design and supuervision of more than 100 projects for Electrical Power Installations and low Current Systems (Hospitals, Hotels, Universities, Factories, Schools, Institutes, Malls, Shops, Villas, Conference Halls, Sporting Stadiums ……etc) in Egypt and Saudi Arabia.

Electrical Power Installation Inlcludes the Following:

  • Electrical Power Stations
  • Medium Voltgae Distributers
  • Low Voltage Distribution Boards
  • Cable Feeders
  • Bus-Duct Feeders
  • Lighting Systems and its Network
  • Earthing Systems
  • Elevators and Esclators
  • Electrical Power of the Central Air-Conditioning System

Light Current Systems Inlcludes the Following:

  • Fire Alarm System
  • Telephone System
  • Public Address Sound System
  • Video Projector System
  • Central Antenna System
  • Closed TV Camera System
  • Master Clock System
  • Nurse Call System
  • Conference System
  • Data Network System
  • Monitoring and Control System
  • Security System
  • Security System Intercom System

Workshops

ABET Institute for the Development of Excellence in Assessment Leadership (IDEAL), Baltimore, Maryland, USA, August 4-7, 2014.

The Institute for the Development of Excellence in Assessment Leadership (IDEAL) provides a professional development opportunity for those responsible for leading their faculty in the development and implementation of a program assessment plan to improve student learning and document program effectiveness. This Institute will engage you in working with colleagues to develop new knowledge and skills that will enable you to be an effective assessment leader.

Citations

All

Since 2013

Citations

691

455

h-index

14

10

i10-index

21

11