摘要
针对PI参数自整定存在控制系统数学模型的精确度、整定效率低和优化时间长的问题,提出一种基于模糊控制的参数自整定的优化策略。以伺服控制系统的数学模型为基础,根据模糊控制的基本原理,设计PMSM的速度模糊PI控制器。然后根据矢量控制原理,在MATLAB/Simulink仿真平台上搭建PMSM控制系统的模型,并对PMSM控制系统进行了仿真。仿真结果表明:在传统PI控制的基础上增加参数自整定是正确和有效的,能使伺服系统具有较强的负载抗扰性和良好的动态跟踪性能。
For the PI parameter self-tuning control system with the problems of the accuracy of the mathematical model, the low tuning efficiency and optimization for a long time, a self-tuning parameters optimization strategy based on fuzzy control was presented. Firstly, basing on the mathematical model of the servo control system based on and the basic principle of fuzzy control, the PMSM speed fuzzy PI controller was designed. Then, according to the vector control theory, a model of PMSM control system was built in MATLAB/Simulink simulation platform, and the PMSM control system was simulated. The simulation results show that the increase parameters on self-tuning in the traditional PI control is correct and effective, and the servo system has strong load immunity and good dynamic tracking performance.
出处
《轻工机械》
CAS
2015年第5期69-72,共4页
Light Industry Machinery