摘要
根据永磁同步电动机参数随输入电流变化而发生微小变化的特点,研究了基于模糊理论的比例-积分控制应用于永磁同步电动机电流控制的可行性,并应用智能遗传算法对模糊控制规则以及比例-积分控制器中的比例系数和积分时间常数等参数进行了优化,设计了一种基于智能性遗传算法(IGA)优化的模糊电流比例-积分控制器。仿真试验结果表明:基于智能遗传算法优化的模糊PI控制器能够快速跟踪电流的变化。
The parameters of PMSM change slightly with different input levels. The possibility of using fuzzy PI controller in current control of permanent magnet synchronous motor was carried out. The parameters of the fuzzy PI controller were chosen by intelligent genetic algorithm. A fuzzy current PI controller based on IGA was designed. Simulation through Matlab show that the fuzzy PI controller optimized by IGA can follow current command quickly.
出处
《电气传动》
北大核心
2008年第12期42-45,共4页
Electric Drive
关键词
永磁同步电动机
智能遗传算法
模糊控制
优化
permanent magnet synchronous motor
intelligent genetic algorithm
fuzzy logic control
optimization
