Modelling the Speed Control of Brushless DC Motor Base on Identification System

Hidayat, Dayat and SASONGKO PRAMONO HADI, Ong and SARJIYA, Sarji and SUHARYANTO, Yanto (2021) Modelling the Speed Control of Brushless DC Motor Base on Identification System. A Comparative Study of PID, ANFIS and Hybrid PID-ANFIS Controllers for Speed Control of Brushless DC Motor Drive. pp. 237-241.

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Abstract

This paper presents a comparative study of various controllers for the speed control of Brushless Direct Current Motor (BLDCM) to improve a performance of control. The most commonly used controller for the speed control of BLDCM is Proportional Integral Derivative (PID) controller. However, the PID controller has advantages such as: a good response, the simple structure and robustness of method, but it has disadvantages such as: optimally tuning gains of PID have been quit difficult and it cannot adapt a non-linier state of plant. Further, ANFIS controller has the ability to automatically learn and adapt with a state of plant. A novel hybrid controller that combines the advantages of PID controller and ANFIS controller is desired to improve the response of plant. To model of BLDCM is used an identification system method. Simulation results are presented and analyzed for all the controllers. It is observed that hybrid PID-ANFIS based controllers give better responses than PID or ANFIS for the speed control of BLDCM drive.

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