Fuzzy Control for Flux Weakening of Hybrid Exciting Synchronous Motor Based on Particle Swarm Optimization Algorithm

被引：31
|
作者：
Huang, Mingming [1 ,2 ]
Lin, Heyun [1 ]
Huang Yunkai [1 ]
Jin, Ping [1 ]
Guo, Yujing [1 ]
机构：
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Henan Inst Engn, Zhengzhou 451191, Peoples R China
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2012年 / 48卷 / 11期
基金：
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词：
Copper loss minimization; fuzzy control; hybrid excitation synchronous motor; particle swarm optimization; DRIVES;
D O I：
10.1109/TMAG.2012.2196761
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes a fuzzy control method combining with particle swarm optimization (PSO) algorithm for the flux weakening control of hybrid excitation synchronous motor (HESM). A total copper loss minimization model is established to determine the optimal field current, d-axis and q-axis currents in low speed region. In order to improve the dynamic characteristic and decrease the harmful influence of parameters variation on HESM's operation, a fuzzy control method is employed in high speed rang. Meanwhile, to improve the efficiency, the PSO algorithm is applied to current optimization during steady state operation. Simulation results show that higher efficiency HESM system can be implemented by adopting the proposed control method.
引用
收藏
页码：2989 / 2992
页数：4
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