Hutama Putra - Academia.edu (original) (raw)
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This study discusses about a controller that have ability to improve the efficiency of brushless ... more This study discusses about a controller that have ability to improve the efficiency of brushless DC motor (BLDC) when operate. Sliding mode controller (SMC) with proportional-integral-derivative (PID) sliding surface based from genetic algorithm optimization is adopted to control the speed of the motor. This method is choosen to make sure the motor can maintain the stability under the disturbance and nonlinierity factor. Beside that, with PID sliding surface, the system will have better transients response. Chattering problem in SMC will minimize by Luenberger Observer adaptive switching gain system so that the chattering will adjust according to the disturbance value. Lyapunov Law is applied to ensure stability of the system. The controller also will compare with conventional PID controller to observe the significant improvement.
Proceeding of the Electrical Engineering Computer Science and Informatics, 2018
This study aims to design a control scheme that is capable to improve performance and efficiency ... more This study aims to design a control scheme that is capable to improve performance and efficiency of brushless DC motor (BLDC) in operating condition. The control scheme is composed of sliding mode controller (SMC) with proportionalintegral-derivative (PID) sliding surface. The PID sliding surface is used to improve the system transient response. Then, the SMC-PID is optimized by genetic algorithm optimization for further improvement on the stability and robustness against nonlinearities and disturbances. Chattering problem that appear in the SMC is minimized by employing an adaptive switching gain for the SMC that is integrated with Luenberger Observer. Lyapunov function candidate is applied to guarantee the stability of the system. Simulation on the proposed work is done in Matlab Simulink. Results of the simulation works indicate that the proposed control scheme can improve the transient response, the stability and robustness of the BLDC motor compared to the conventional SMC in the existence of nonlinearities and disturbances.
This study discusses about a controller that have ability to improve the efficiency of brushless ... more This study discusses about a controller that have ability to improve the efficiency of brushless DC motor (BLDC) when operate. Sliding mode controller (SMC) with proportional-integral-derivative (PID) sliding surface based from genetic algorithm optimization is adopted to control the speed of the motor. This method is choosen to make sure the motor can maintain the stability under the disturbance and nonlinierity factor. Beside that, with PID sliding surface, the system will have better transients response. Chattering problem in SMC will minimize by Luenberger Observer adaptive switching gain system so that the chattering will adjust according to the disturbance value. Lyapunov Law is applied to ensure stability of the system. The controller also will compare with conventional PID controller to observe the significant improvement.
Proceeding of the Electrical Engineering Computer Science and Informatics, 2018
This study aims to design a control scheme that is capable to improve performance and efficiency ... more This study aims to design a control scheme that is capable to improve performance and efficiency of brushless DC motor (BLDC) in operating condition. The control scheme is composed of sliding mode controller (SMC) with proportionalintegral-derivative (PID) sliding surface. The PID sliding surface is used to improve the system transient response. Then, the SMC-PID is optimized by genetic algorithm optimization for further improvement on the stability and robustness against nonlinearities and disturbances. Chattering problem that appear in the SMC is minimized by employing an adaptive switching gain for the SMC that is integrated with Luenberger Observer. Lyapunov function candidate is applied to guarantee the stability of the system. Simulation on the proposed work is done in Matlab Simulink. Results of the simulation works indicate that the proposed control scheme can improve the transient response, the stability and robustness of the BLDC motor compared to the conventional SMC in the existence of nonlinearities and disturbances.