Optimization of control algorithm for BLDCM in the ship

Sun Lixiang, Shan Xiuwen


A speed-regulating system of BLDCM has been designed on the basis of the expert system. It involves nonlinear optimization and PID controller design. The design method is improved through the linear fitting of piecewise function and expert PID controller. The function of PID controller is enhanced according to the error of motor rotating speed. A real experiment has been conducted, and the output demonstrates that this controller is robust and reliable.

Ключові слова

BLDCM; PID controller; expert system; nonlinear optimization

Повний текст:

PDF (English)


BLDCM Based on Neuro-Fuzzy Identified Mode [J]. IEEE, 2009. pp. 1524 – 1527.

Zhang Chen. Brushless DC Motor Principles and Applications [M]. Beijing, China: Mechanical Industry Press, 2004.

Luk P. C. K., Lee C. K., Kwok N. M. Development of a Low Cost Software Package for the Design of a Brushless DC Motor Controller [J]. IEEE, 1994. pp. 1306 – 1309.

Liu Jin-kun. Advanced PID Control MATLAB Simulation [M]. Beijing, China: Electronic Industry Press, 2011.

Tao-Yong-hua, Yin Yi-xin, Ge Lu-sheng. New PID Control and Its Application [M]. Beijing, China: Mechanical Industry Press, 1998.

D. H. Lee. A Torque Ripple Reduction of Miniature BLDC using Instantaneous Voltage Control [J]. Journal of KIPE, 2007, vol. 12, no. 3, pp. 191 – 198.

Singh M. Performance Evaluation of BLDC Motor with Conventional PI and Fuzzy Speed Controller [C]. Proceedings of the IEEE 5th India International Conference on Power Electronics. 2012, pp. 1 – 6.

Yin Yun-hua, Zheng Bin, Zheng Hao-xin. A Method for Modeling and Simulation of Brushless DC Motor Control System based on MATLAB [J]. Journal of System Simulation, 2008, no. 20(2), pp. 293 – 298.

DOI: https://doi.org/10.15589/SMI20170109


  • Поки немає зовнішніх посилань.