Browse > Article
http://dx.doi.org/10.5370/KIEE.2013.62.10.1425

Design of the H∞ Current Controller Based on the PSO Algorithm for Reducing the Current Ripple Caused by the Saliencies of SPMSM  

Lee, Kwan-Hyung (Daedong Corporation and Dept. of Electronic Systems Engineering, Hanyang University)
Young, Jeon-Chan (Dept. of Electronic Systems Engineering, Hanyang University)
Lim, Dong-Jin (Dept. of Electronic Systems Engineering, Hanyang University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.62, no.10, 2013 , pp. 1425-1435 More about this Journal
Abstract
The useful method for determining parameters of weighting functions used to design the $H_{\infty}$ current controller for attenuating the current ripple due to saliencies which SPMSM(Surface Permanent Magnet Synchronous Motor) also incorporates is described. To analyze the effect, the current ripple due to the structural and the saturation saliencies, the SPMSM model with nonlinear inductance function depending on the two independent variables, rotor position and stator current is simulated. After analysis, parameters of the weighting functions for $H_{\infty}$ current controller is selected to satisfy the robust stability, robust performance and specific performance in time and frequency domain by using the PSO(Particle Swarm Optimization) algorithm in the linear SPMSM model. Especially, the robust performance is proved that the selected weighting functions play a role in reducing the current ripple caused by the saliencies of SPMSM at the desired frequency range by the simple experiment.
Keywords
Surface permanent magnet synchronous motor (SPMSM); Saliency; Current ripple; $H_{\infty}$ control; Particle swarm optimization (PSO); Weighting function;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 P. Pillay and R. Krishnan, "Control characteristics and speed controller design for a high performance permanent magnet synchronous motor drive", IEEE Transactions on Power Electronics, vol. 5, no. 2, pp. 151-159, April 1990.   DOI   ScienceOn
2 Geun-Ho Lee and Jeong-Pyo Hong, "A Study on the Torque Ripple Reduction of Low Voltage High Current SPMSM", KIEE, vol. 58, no. 12, pp. 2391-2395, 2009. 12.   과학기술학회마을
3 Y. Yan, J.G. Zhu, and H.W. Lu, "A PMSM Model Incorporating Structural and Saturation Saliencies", IEEE International Conference on Electrical Machines and Systems, pp.194-199, September 2005.
4 Y. Yan, J.G. Zhu, H.W. Lu, Y.G. Guo, and S.H. Wang, "Study of a PMSM model incorporating structural and saturation saliencies", IEEE International Conference on Power Electronics and Drive Systems, pp. 575-580, November 2005.
5 Y.A.-R.I. Mohamed and E.F. El-Saadany, "A Current Control Scheme With an Adaptive Internal Model for Torque Ripple Minimization and Robust Current Regulation in PMSM Drive Systems", IEEE Transactions on Energy Conversion, vol. 23, no. 1, pp. 92-100, March 2008.   DOI   ScienceOn
6 Y.A.-R.I. Mohamed and E.F. El-Saadany, "Robust High Bandwidth Discrete-Time Predictive Current Control with Predictive Internal Model-A Unified Approach for Voltage-Source PWM Converters", IEEE Transactions on Power Electronics, vol. 23, no. 1, pp. 126-136, January. 2008.   DOI   ScienceOn
7 J. Kennedy and R.C. Eberhart, "Particle swarm optimization", IEEE International Conference on Neural Networks, vol. 4, pp.1942-1948, December 1995.
8 R.C. Eberhart and Yuhui Shi, "Comparison between genetic algorithm and particle swarm optimization", International Conference on Evolutionary Programming, vol. 1447, pp. 611-616, March 1998.
9 H. I. Ali, Noor, S. B. Mohd, M. H. Marhaban and S. M. Bashi, "Design of H-inf Controller with Tuning of Weights Using Particle Swarm Optimization Method", IAENG International Journal of Computer Science, vol. 38 no 2, pp. 103, June 2011.
10 Jui-Yuan Chai, Yeh-Hsiang Ho, Yu-Choung Chang and Chang-Ming Liaw, "On Acoustic-Noise-Reduction Control Using Random Switching Technique for Switch-Mode Rectifiers in PMSM Drive", IEEE Transactions on Industrial Electronics, vol. 55, no. 3, pp. 1295-1309, March 2008.   DOI   ScienceOn
11 Sang-Hun Kim, DC, AC, BLDC Motor Control, Bogdoo, pp. 89-227, 2010.
12 P. Cui, J.G. Zhu, Q. P. Ha, G.P. Hunter and V.S. Ramsden, "Simulation of nonlinear switched reluctance motor drives with PSIM", IEEE International Conference on Electrical Machines, vol. 2, pp. 1061-1064, August 2001.
13 Yi Wang, Jianguo Zhu, Youguang Guo, Yongjian Li, Wei Xu, Jiefeng Hu and Shuhong Wang, "Modelling of surface mounted PM machines incorporating saturation saliency and frequency variation" Australasian Universities Power Engineering Conference, pp. 1-6 December 2010.
14 Faa-Jeng Lin, Syuan-Yi Chen, Li-Tao Teng and Hen Chu, "Recurrent Functional-Link-Based Fuzzy Neural Network Controller With Improved Particle Swarm Optimization for a Linear Synchronous Motor Drive", IEEE Transactions on Magnetics, vol. 45, no. 8, pp. 3151-3165, August 2009.   DOI   ScienceOn
15 P. Pillay and R. Krishnan, "Modeling of permanent magnet motor drives", IEEE Transactions on Industrial Electronics, vol. 35, no. 4, pp. 537-541, November 1988.   DOI   ScienceOn
16 Kemin Zhou and Jhon C. Doyle, Essentials of Robust Control, Prentice Hall, pp. 2-182, 1997.
17 Da-Wei Gu, Petko Hristov Petkov and Mihail Mihaylov Konstantinov, Robust Control Design with MATLAB, Springer, pp. 120-124, 2005.
18 M.F. Miranda, R.H.C. Takahashi and F.G. Jota, "Hierarchical approach for $H{\infty}$ robust control design: S/KS mixed sensitivity with genetic algorithm", Control Theory & Applications, IET, vol. 1, no. 1, pp. 18-24, January 2007.   DOI   ScienceOn
19 Richard Y. Chiang and Michael G. Safonov, MATLAB Robust Control Toolbox, Mathworks, pp. 84-86, 1998
20 P. J. Angeline, "Using selection to improve particle swarm optimization", IEEE International Conference on Evolutionary Computation, pp. 84-89, May 1998.
21 H. Yoshida, K. Kawata, Y. Fukuyama, S. Takayama and Y. Nakanishi, "A particle swarm optimization for reactive power and voltage control considering voltage security assessment", IEEE Transactions on Power Systems, vol. 15, no. 4, pp. 1232-1239, November 2000.   DOI   ScienceOn
22 Yuhui Shi and R.C. Eberhart, "Empirical study of particle swarm optimization", IEEE Congress on Evolutionary Computation, vol. 3, pp. 1950-1955, July 1999.
23 Zwe-Lee Gaing, "A particle swarm optimization approach for optimum design of PID controller in AVR system", IEEE Transactions on Energy Conversion, vol. 19, no. 2, pp. 384-391, June 2004.   DOI   ScienceOn
24 Yuhui Shi and R.C. Eberhart, "A modified particle swarm optimizer", IEEE International Conference on Evolutionary Computation, pp. 69-73, May 1998.
25 Zwe-Lee Gaing, "Particle swarm optimization to solving the economic dispatch considering the generator constraints", IEEE Transactions on Power Systems, vol. 18, no. 3, pp. 1187-1195, August 2003.   DOI   ScienceOn
26 M. Benedetti, R. Azaro, D. Franceschini and A. Massa, "PSO-Based Real-Time Control of Planar Uniform Circular Arrays", Antennas and Wireless Propagation Letters, IEEE, vol. 5, no. 1, pp. 545-548, December 2006.   DOI   ScienceOn
27 P. Kanakasabapathy and K.S. Swarup, "Evolutionary Tristate PSO for Strategic Bidding of Pumped-Storage Hydroelectric Plant," IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 40, no. 4, pp. 460-471, July 2010.   DOI   ScienceOn
28 Yi Wang, Jianguo Zhu, Shuhong Wang, Youguang Guo and Wei Xu, "Nonlinear Magnetic Model of Surface Mounted PM Machines Incorporating Saturation Saliency", IEEE Transactions on Magnetics, vol. 45, no. 10, pp. 4684,4687, October 2009.