Designing a Fuzzy PID Controller for Brushless DC Motor


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Based on the mathematical model of the brushless DC motor (BLDCM), a self-adaptive fuzzy PID controller is designed to achieve high-precision speed control of motor by adopting fuzzy control principle, simulation is conducted in MATLAB /SIMULINK, the result shows that the controller can work well with quick response, no overshoot output and high control precision, has strong robustness under the circumstances of various disturbances and parameter variations, whose static and dynamic performance with the self-adaptive fuzzy PID control are both better than conventional PID control.



Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim




Y. H. Qian, "Designing a Fuzzy PID Controller for Brushless DC Motor", Advanced Materials Research, Vols. 588-589, pp. 1650-1653, 2012

Online since:

November 2012





[1] Xiaowei Zhong, Zhecun Song, Zhong Jiang. Application of PID Control for BLDCM Control System[J]. Control and Instruments in Chemical Industry. 2010, 37(8): 87-89.

[2] Changliang Xia, Brushless DC motor Control System[M]. beijin: Science Press, (2009).

[3] Zhicheng Ji, Yanxia Shen, Jianguo Jiang. A Novel Method for Modeling and Simulation of BLDC System Based on Matlab[J]. System Simulation. 2003, 15(12): 1745-1749.

[4] Gang Liu, Zhiqiang Wang, Jiancheng Fang. Control technology and application on permanent magnet brushless DC motor[M]. beijin: Mechanical Industry Press, (2008).

[5] Wei Xu, Baida Qu, Baoguo Xu. The Speed Control of Brushless DC motor Based on Fuzzy PID Model[J]. Electrical Technology, 2010, 10(11): 7926-7929.

[6] Jinjin He, Zhiqin He. Research of Brushless DC Motor Control Based on Fuzzy PID Algorithm[J]. Machinery & Electronics, 2010, 7(1): 80-82.