OPTIMUM TUNING OF PID CONTROLLER FOR A PERMANENT MAGNET BRUSHLESS MOTOR
Hassan, F., EL-Wakeel, A., Kamel, A., Abdel-hamed, A. (2012). OPTIMUM TUNING OF PID CONTROLLER FOR A PERMANENT MAGNET BRUSHLESS MOTOR. EKB Journal Management System, 8(8th International Conference on Electrical Engineering ICEENG 2012), 1-12. doi: 10.21608/iceeng.2012.32791
F. Hassan; A. S. EL-Wakeel; A. Kamel; A. Abdel-hamed. "OPTIMUM TUNING OF PID CONTROLLER FOR A PERMANENT MAGNET BRUSHLESS MOTOR". EKB Journal Management System, 8, 8th International Conference on Electrical Engineering ICEENG 2012, 2012, 1-12. doi: 10.21608/iceeng.2012.32791
Hassan, F., EL-Wakeel, A., Kamel, A., Abdel-hamed, A. (2012). 'OPTIMUM TUNING OF PID CONTROLLER FOR A PERMANENT MAGNET BRUSHLESS MOTOR', EKB Journal Management System, 8(8th International Conference on Electrical Engineering ICEENG 2012), pp. 1-12. doi: 10.21608/iceeng.2012.32791
Hassan, F., EL-Wakeel, A., Kamel, A., Abdel-hamed, A. OPTIMUM TUNING OF PID CONTROLLER FOR A PERMANENT MAGNET BRUSHLESS MOTOR. EKB Journal Management System, 2012; 8(8th International Conference on Electrical Engineering ICEENG 2012): 1-12. doi: 10.21608/iceeng.2012.32791

OPTIMUM TUNING OF PID CONTROLLER FOR A PERMANENT MAGNET BRUSHLESS MOTOR

The International Conference on Electrical Engineering
Article 106, Volume 8, 8th International Conference on Electrical Engineering ICEENG 2012, May 2012, Page 1-12  XML PDF (281.57 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2012.32791
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Authors
F. Hassan1; A. S. EL-Wakeel2; A. Kamel3; A. Abdel-hamed3
1Helwan University,cairo.
2Military Technical College,cairo.
3High Institute of Engineering, El Shorouk, Cairo, Egypt.
Abstract
The proportional-integral-derivative (PID) controllers were the most popular controllers of this century because of their remarkable effectiveness, simplicity of implementation and broad applicability. However, PID controllers are poorly tuned in practice with most of the tuning done manually which is difficult and time consuming. The computational intelligence has purposed genetic algorithms (GA) and particle swarm optimization (PSO) as opened paths to a new generation of advanced process control. The main objective of these techniques is to design an industrial control system able to achieve optimal performance when facing variable types of disturbances which are unknown in most practical applications. This paper presents a comparison study of using two algorithms for the tuning of PID-controllers for speed control of a Permanent Magnet Brushless DC (BLDC) Motor. The PSO has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The BLDC Motor is modelled using system identification toolbox. Comparing GA with PSO method proves that the PSO was more efficient in improving the step response characteristics. Experimental results have been investigated to show their agreement with simulation one.
Keywords
Permanent Magnet Brushless DC (BLDC) Motor; particle swarm optimization (PSO); Genetic algorithm (GA); PID controller; and optimal control
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