摘要
针对PID或其改进的算法鲁棒性偏低问题,提出了永磁同步电机(PMSM)的自适应云模型控制算法研究。在分析了自适应云模型结构后设计了PMSM自适应云模型控制器。搭建了基于自适应云模型控制算法的PMSM试验平台,试验结果表明提出的PMSM的自适应云模型控制算法精度高、性能稳定。
The current loop of permanent magnet synchronous motor was controlled by PID algorithm or improved PID algorithm. The robustness of PID algorithm and improved PID algorithm was unsatisfactory. The adaptive cloud model control algorithm for permanent magnet synchronous motor was proposed to solve the problem. After analyzing the structure of adaptive cloud model,an adaptive cloud model controller for permanent magnet synchronous motor was designed,and the adaptive cloud model structure was deduced.The experimental platform of PMSM Based on adaptive cloud model control algorithm was constructed. The experimental results show that the adaptive cloud model control algorithm for permanent magnet synchronous motor is effective and stable.
作者
陆佳琪
朱保鹏
尤钱亮
张懿
魏海峰
LU Jiaqi;ZHU Baopeng;YOU Qianliang;ZHANG Yi;WEI Haifeng(School of Electrical and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China)
出处
《电机与控制应用》
2018年第3期41-45,共5页
Electric machines & control application
基金
国家自然科学基金项目(61503161)
江苏省产学研前瞻性联合研究项目(BY2016073-01)
关键词
永磁同步电机
云模型
自适应
控制
permanent magnet synchronous motor （PMSM）
cloud model
adaptive
control
作者简介
陆佳琪（1995-），女，硕士研究生，研究方向为电机驱动控制。;朱保鹏（1996-），男，研究方向为电机驱动控制。;尤钱亮（1995-），男，硕士研究生，研究方向为电机驱动控制。
