Design of Robust Controller for PMSM Based on Improved PSO Algorithm

作者：Tan, Guo Jun^*; Qian, Miao Wang; Zhang, Hui; Ma, Zhi Xun; Yu, Rui Wen

来源：International Review of Electrical Engineering, 2011, 6(5): 2351-2360.

• Permanent Magnet Synchronous Motor
• H-Robust Control
• Particle Swarm Optimization Algorithm
• Nonlinear Weight
• Parameter Selection

An H-infinity robust control scheme based on non-accurate mathematical model is presented in the paper in order to realize the high-performance control of permanent magnet synchronous motor (PMSM). The scheme could enhance the control performances of PMSM for the reason that various uncertainties are considered in the design of the robust controller. Then aiming at the difficulty of parameter optimization, an improved nonlinear-weight particle swarm optimization algorithm (NLPSO) is proposed for the parameter selection. And the optimization ability of NLPSO is tested and verified with 4 benchmark test functions. The results indicate that NLPSO has obvious advantage compared with standard particle swarm optimization algorithm (PSO) and linear-weight particle swarm optimization algorithm (LPSO). Finally, the experiment based on dSPACE demonstrates that the proposed robust control scheme has faster dynamic response and better load disturbance rejection capability compared with the conventional PI control scheme. Furthermore, the NLPSO algorithm is proved valid for parameter selection of the H-infinity robust controller.

• 出版日期2011-10
• 单位中国矿业大学（北京）