WSEAS Transactions on Systems


Print ISSN: 1109-2777
E-ISSN: 2224-2678

Volume 18, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 18, 2019



Design of Speed and Current Controllers using Online PSO for IPMSM

AUTHORS: Zhengqiang Song, Renpu Li, Huiling Yang, Dan Xiao

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ABSTRACT: A novel online particle swarm optimization method is proposed to design speed and current controllers of vector controlled interior permanent magnet synchronous motor drives considering stator resistance variation. In the proposed drive system, the space vector modulation technique is employed to generate the switching signals for a two-level voltage-source inverter. The nonlinearity of the inverter is also taken into account due to the dead-time, threshold and voltage drop of the switching devices in order to simulate the system in the practical condition. Speed and PI current controller gains are optimized with PSO online, and the fitness function is changed according to the system dynamic and steady states. The proposed optimization algorithm is compared with conventional PI control method in the condition of step speed change and stator resistance variation, showing that the proposed online optimization method has better robustness and dynamic characteristics compared with conventional PI controller design.

KEYWORDS: PMSM, Online PSO, Parameters Variation

REFERENCES:

[1] Shin-Hung Chang, Shin-Hung Chang, “Selftuning gains of PI controllers for current control i n PMSM,” IEEE 5th Conference on Industrial Electronics and Applications, pp.1282-1286, 2010.

[2] Muhammed Fazlur Rahman, Md. Enamul Haque, “Problems associated with the direct torque control of an Interior permanent-magnet synchronous motor drive and their remedies,” IEEE Trans. on industrial electronics, vol.51, no. 4, pp. 799-808, 2004.

[3] Wenxin Liu, Li Liu, Il-Yop Chung, David A. Cartes, “Real-time particle swarm optimization based parameter identification applied to permanent magnet synchronous machine,” Elsevier, Applied Soft Computing, pp. 2556– 2564, 2011.

[4] Kennedy J, Eberhart RC. ‘‘Particle swarm optimization,’’ in Proceedings of International Conference on Neural Network (ICNN), Vol. 4, pp. 1942–1948 Perth, Australia 1995.

[5] Shuai Yan, Dianguo Xu, Xianguo Gui, Ming Yang and Bingbing Li, “Online Particle Swarm Optimization Design of Speed Controller considering Anti-windup for PMSM Drive System”, IEEE Annual Power Electronics Specialists Conference, pp.2273-2277, 2007.

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 18, 2019, Art. #20, pp. 156-163


Copyright Β© 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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