基于模糊遗传算法的无刷直流电机自适应控制  

CONTROL OF BRUSHLESS DC MOTOR USING GENETIC ALGORITHM BASED FUZZY CONTROLLER

作　　者：夏长亮[1] 郭培健[1] 史婷娜[1] 王明超[1] 

机构地区：[1]天津大学电气与自动化工程学院,天津市南开区300072

出　　处：《中国电机工程学报》2005年第11期129-133,共5页Proceedings of the CSEE

基　　金：天津市应用基础研究重点项目(043802011);天津市科技攻关计划重大项目(05ZHGCGX00100)。

摘　　要：无刷直流电机(BLDCM)是一种多变量和非线性的控制系统,模糊控制器在其控制中得到广泛应用。针对模糊控制器设计和参数在线调节方面的不足,文中提出了一种使用遗传算法优化的模糊控制器,并用于无刷直流电机的控制中。系统使用电流和转速双闭环控制。速度环采用模糊控制器进行控制,控制规则通过遗传算法进行离线优化,并在数字信号处理器(DSP)中实现控制参数的在线调节。系统较好的实现了给定速度参考模型的自适应跟踪,具有控制灵活、适应性强等优点,同时又具有较高的控制精度和较好的鲁棒性。The brushless DC motor (BLDCM) is a multi-variable and non-linear system. Fuzzy control has been used in the field of the BLDCM control. However, the design and tuning of the fuzzy controller are not satisfied. In this paper, an auto-tuning method for fuzzy logic controller based on genetic algorithm (GA) is presented, and the controller is applied into the BLDCM control. The system includes current and speed closed loops. The speed loop uses the fuzzy logic controller whose control rules are optimized off-line and parameters are adjusted on-line based on genetic algorithm. At last, a digital signal processor (DSP) is used to fully prove the flexibility of the control scheme in real time. Excellent flexibility and adaptability as well as high precision and good robustness are obtained by the proposed strategy.

关 键 词：无刷直流电机 模糊遗传算法 自适应控制 数字信号处理器(DSP) 模糊控制器 在线调节 控制器设计 双闭环控制 自适应跟踪 控制系统 算法优化 系统使用 离线优化 控制规则 控制参数 参考模型 给定速度 控制精度 非线性 多变量 

分 类 号：TM33[电气工程—电机] TP273.2[自动化与计算机技术—检测技术与自动化装置]