Speed Control of High Performance Brushless DC Motor /
Speed Control of High Performance Brushless DC Motor /
التحكم في السرعة لمحرك DC بدون فرشات عالي الأداء
by Mohamed Abdelbar Shamseldin Ali ; supervisors : Prof. Mohamed Ahmed Moustafa Hassan, Prof. Abdel Ghany .M. Abdel Ghany, Prof. A. Halim Bassiuny, Prof. Adel A. Al-Samahy.
- i, xii, 103 pages : illustrations ; 29 cm
supervisors : Prof. Mohamed Ahmed Moustafa Hassan, Prof. Abdel Ghany .M. Abdel Ghany, Prof. A. Halim Bassiuny, Prof. Adel A. Al-Samahy.
Thesis (M.Sc.) - Helwan University, Faculty of Engineering, 2016.
Includes bibliographical references (91 p.)
This thesis proposes the design and implementation of four different advanced control techniques. The controller objective to achieve a good speed regulation/tracking of BLDC motor, regardless the presence of external disturbances and/or parameters variation. The first technique is GA-based PID controller, in which the genetic algorithm (GA) optimization technique is used to determine the proper PID controller parameters. In this thesis three different cost functions are tested during optimization process. Although, GA optimization technique improves the overall performance of the PID controller, but it has poor performance in case of sudden change in operating point and parameters variation. So, the second technique is a self-tuning fuzzy PID control in which the PID controller parameters are continuously changing to satisfy the required performance. The main role of the fuzzy logic control adjusts the PID controller parameters online, according to the error and the change of error. The third technique is a model reference adaptive control (MRAC), where the desired performance is expressed in terms of a reference model. The MRAC is known with its fast response. On other hand, it suffers from high overshoot. This disadvantage can be alleviated using the fourth control technique. The fourth technique is a new hybrid control technique (MRAC with PID compensator), in which the controller action depends on both the MRAC and the PID compensator. In this technique, the fast response will be achieved without high overshoot. A complete simulation for the advanced control techniques has been studied. A hardware has been implemented to verify the theoretical study. The simulation as well as the experimental results are agreed well. Both simulation and experimental results clarify that the MRAC with PID compensator has the best performance compared to the different studied techniques
supervisors : Prof. Mohamed Ahmed Moustafa Hassan, Prof. Abdel Ghany .M. Abdel Ghany, Prof. A. Halim Bassiuny, Prof. Adel A. Al-Samahy.
Thesis (M.Sc.) - Helwan University, Faculty of Engineering, 2016.
Includes bibliographical references (91 p.)
This thesis proposes the design and implementation of four different advanced control techniques. The controller objective to achieve a good speed regulation/tracking of BLDC motor, regardless the presence of external disturbances and/or parameters variation. The first technique is GA-based PID controller, in which the genetic algorithm (GA) optimization technique is used to determine the proper PID controller parameters. In this thesis three different cost functions are tested during optimization process. Although, GA optimization technique improves the overall performance of the PID controller, but it has poor performance in case of sudden change in operating point and parameters variation. So, the second technique is a self-tuning fuzzy PID control in which the PID controller parameters are continuously changing to satisfy the required performance. The main role of the fuzzy logic control adjusts the PID controller parameters online, according to the error and the change of error. The third technique is a model reference adaptive control (MRAC), where the desired performance is expressed in terms of a reference model. The MRAC is known with its fast response. On other hand, it suffers from high overshoot. This disadvantage can be alleviated using the fourth control technique. The fourth technique is a new hybrid control technique (MRAC with PID compensator), in which the controller action depends on both the MRAC and the PID compensator. In this technique, the fast response will be achieved without high overshoot. A complete simulation for the advanced control techniques has been studied. A hardware has been implemented to verify the theoretical study. The simulation as well as the experimental results are agreed well. Both simulation and experimental results clarify that the MRAC with PID compensator has the best performance compared to the different studied techniques