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http://dx.doi.org/10.5370/KIEE.2011.60.9.1777

The PSO-PID Speed Controller Design for the BLDC Motor  

Kim, Seung-Ki (한양대 전자전기제어계측공학과)
Han, Byung-Jo (한양대 전자전기제어계측공학과)
Yang, Hai-Won (한양대 전자컴퓨터공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.60, no.9, 2011 , pp. 1777-1782 More about this Journal
Abstract
Brushless DC motors applied in many control systems because of the good respose characteristic and the easy control characteristic. The speed control of the BLDC motors is important in the systems. This paper has designed PSO-PID speed controller for the speed control of BLDC motors. The PSO algorithm optimized the parameters of the PID controller in the PSO-PID speed controller. The several methods obtained the optimal inertia weight of the PSO algorithm by comparison. The optimal inertia weight of the PSO algorithm optimized the PSO-PID speed controller for BLDC motors. This paper confirmed the performance of proposed PSO-PID speed controller through simulation results.
Keywords
PSO-PID; PSO; Inertia weight; PID controller; BLDC motor speed control;
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  • Reference
1 A. Visioli, "Tuning of PID controllers with fuzzy logic," Proc. Inst. Elect. Eng. Contr. Theory Applicant., vol. 148, no. 1, pp. 1-8, Jan 2001.   DOI   ScienceOn
2 J. Kennedy and R. Eberhart, "Particle Swarm Optimization," Proceedings of IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948, 1995.
3 Y. Shi, and R. Eberhart, "A modified particle swarm optimizer," IEEE World Congress on Computational intelligence, Anchorage, Alaska, pp. 69-73, 1998.
4 R. Eberhart and J. Kennedy, "A New Optimizer Using Particle Swarm Theory," Proc.of 6th Interna -tional Symposium on Micro Machine and Human Science, pp. 39-43, 1995.
5 Wenhua Han, and Ping Yang, "Comparison Study Of Several Kinds Of Inertia Weights For PSO," Progress in Informatics and Computing (PIC), IEEE International Conf., pp. 280-284, 2010.
6 A. Rubaai, R. Kotaru, and M.D. Kankam, "A continually online-trained neural network controller for brushless DC motor drives," IEEE Transactions on Industry Applivations, vol. 36, no. 2, pp. 475-483, April 2000.   DOI   ScienceOn
7 G. Yu, and R. Hwang, "Optimal PID speed control of brush less DC motors using LQR approach," in Proc. IEEE Int. Conf Systems, Man and Cybernetics, pp. 473-478, 2004.
8 Z.Y.Pan, and F.L.Luo, "Steady state reference current determination technique for brushless DC motor drive system," IEE Proc.-Electr. Power Appl., vol. 152, no. 6, pp. 1585-1594, November 2005.   DOI   ScienceOn