摘要
介绍了永磁同步电机(PMSM)在矢量控制系统中转速环的模糊PI控制器设计。针对模糊控制器无法自适应调整参数,研究分析一种新型智能优化算法——正弦余弦算法,并对影响该算法全局探索和局部开发能力的重要参数进行调整,使搜索结果更精确,将改进后的算法用于模糊控制器量化因子和比例因子的优化。仿真结果表明,基于正弦余弦算法优化的模糊PI控制较传统模糊PI控制,具有更好的动态性能和抗干扰能力以及鲁棒性强的特点。
The design of fuzzy PI controller in the speed loop which in the vector control system of permanent magnet synchronous moto(r PMSM)was presented. Aiming at the inability of fuzzy logic controller to adjust parameters adaptively,a new intelligent optimization algorithm-sine cosine algorithm was studied and analyzed,and the important parameters affecting the global exploration and local exploitation ability of the algorithm were adjusted for the more accurate searching results. The improved algorithm was used for the optimization of the fuzzy logic controller's quantization factor and scale factor. The simulation results show that the fuzzy PI control strategy based on sine cosine algorithm has better dynamic performances and anti-interference ability than traditional fuzzy PI control strategy while its robustness is still strong.
作者
陈冬
赵宇红
CHEN Dong;ZHAO Yuhong(College of Electrical Engineering,University of South China,Hengyang 421001,Hunan,China)
出处
《电气传动》
北大核心
2019年第5期31-36,共6页
Electric Drive
关键词
永磁同步电机
转速控制
模糊PI控制器
正弦余弦算法
permanent magnet synchronous motor(PMSM)
speed control
fuzzy PI controller
sine cosine algorithm(SCA)
