PRACTICAL IMPLEMENTATION FOR FUZZY SELF TUNING OF OPTIMAL PID CONTROLLER TO SERVO PERMANENT MAGNET SYNCHRONOUS MOTOR
Abdel Ghany, M., Abdel Magid, H., Eissa, M., Bahgat, M., Bassuiny, A., Sharaf, S. (2017). PRACTICAL IMPLEMENTATION FOR FUZZY SELF TUNING OF OPTIMAL PID CONTROLLER TO SERVO PERMANENT MAGNET SYNCHRONOUS MOTOR. EKB Journal Management System, 12(45), 1371-1385. doi: 10.21608/auej.2017.19145
M A Abdel Ghany; H Abdel Magid; M Abdullah Eissa; M E Bahgat; A Bassuiny; Soliman Sharaf. "PRACTICAL IMPLEMENTATION FOR FUZZY SELF TUNING OF OPTIMAL PID CONTROLLER TO SERVO PERMANENT MAGNET SYNCHRONOUS MOTOR". EKB Journal Management System, 12, 45, 2017, 1371-1385. doi: 10.21608/auej.2017.19145
Abdel Ghany, M., Abdel Magid, H., Eissa, M., Bahgat, M., Bassuiny, A., Sharaf, S. (2017). 'PRACTICAL IMPLEMENTATION FOR FUZZY SELF TUNING OF OPTIMAL PID CONTROLLER TO SERVO PERMANENT MAGNET SYNCHRONOUS MOTOR', EKB Journal Management System, 12(45), pp. 1371-1385. doi: 10.21608/auej.2017.19145
Abdel Ghany, M., Abdel Magid, H., Eissa, M., Bahgat, M., Bassuiny, A., Sharaf, S. PRACTICAL IMPLEMENTATION FOR FUZZY SELF TUNING OF OPTIMAL PID CONTROLLER TO SERVO PERMANENT MAGNET SYNCHRONOUS MOTOR. EKB Journal Management System, 2017; 12(45): 1371-1385. doi: 10.21608/auej.2017.19145

PRACTICAL IMPLEMENTATION FOR FUZZY SELF TUNING OF OPTIMAL PID CONTROLLER TO SERVO PERMANENT MAGNET SYNCHRONOUS MOTOR

Journal of Al-Azhar University Engineering Sector
Article 29, Volume 12, Issue 45, October 2017, Page 1371-1385  XML PDF (2.4 MB)
Document Type: Original Article
DOI: 10.21608/auej.2017.19145
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Authors
M A Abdel Ghany1; H Abdel Magid2; M Abdullah Eissa2; M E Bahgat2; A Bassuiny2; Soliman Sharaf2
1Nahda University (NUB), Bani Sweif City, Egypt
2Faculty of Engineering - Helwan, University of Helwan, Cairo, Egypt
Abstract
This paper describes the design and practical implementation for speed Fuzzy Self Tuning of Optimal PID control FSTOPID on a Servo Permanent Magnet Synchronous Motor PMSM. In this work, an industrial PMSM system has been identified including its drive. Nonlinear Least Squares Algorithm NLSA is used for model identification. For speed control, a variable load for the PMSM represents nontraditional control problem. One of the solutions to the problem is to apply a FSTOPID controller. This requires reformulating the control problem to include two parts, optimal PID controller and fuzzy logic controller FLC parts. The first part deals with the PID controller tuned using Ant Colony System ACS algorithm. The second one represents the on line fuzzy self–tuned of the optimal PID. The goal of this design is to regulate the speed and improve the transient performance of the PMSM system under load demand variations. Comparative analyses of practical implementation for the PMSM drive system are demonstrated under diverse load. Finally, experimental results show accurate identification and speed favorable performance. The results prove that the proposed controller is very useful for industrial servo PMSM system.
Keywords
permanent magnet synchronous motor; identification; Ant Optimization Technique; PID Control Fuzzy Logic Control
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