基于模糊控制的多电机神经元PID同步控制  

Multi-motor Neuron PID Synchronous Control Based on Fuzzy Control

作　　者：崔皆凡[1] 刘艳[1] 闫红[1] 潘龙玉[1] 

机构地区：[1]沈阳工业大学电气工程学院,沈阳110870

出　　处：《组合机床与自动化加工技术》2013年第2期81-83,87,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家自然科学基金项目(51075281);辽宁省科技厅资助基金项目(201202167)

摘　　要：针对多电机同步控制系统控制精度问题,对多电机同步控制系统进行了研究。在分析了多电机同步控制算法的基础上,设计了具有自学习和自适应能力的神经元PID控制器,弥补了传统PID控制在非线性、时变、强耦合的多电机同步控制过程中存在的不足;采用偏差耦合控制策略,以模糊控制器作为速度补偿器,改进了多电机传统耦合控制方式。在MATLAB/SIMULINK环境下,搭建了多电机同步控制系统仿真模型。仿真结果表明基于模糊控制的多电机神经元PID同步控制系统具有良好的同步性和稳定性,实现了提高多电机同步控制系统控制精度的目的。The multi-motor synchronization control system is studied for the problem of the control accu- racy of multi-motor synchronization control system in the paper. Based on a comprehensive analysis of multi-motor synchronization control system a neuron PID controller with self-learning and self-adaptive was designed, which made up the deficiency of traditional PID control in nonlinear, time-varying and strong-coupling multi-motor synchronization control; using deviation coupling control strategy with fuzzy controller as speed compensator, which improved the multi-motor＇ s traditional coupling control mode. With the use of MATLAB/SIMULINK, the multi-motor synchronization control system simulation model can be established. The simulation result shows that multi-motor neuron PID synchronization control sys- tem based on fuzzy control has good synchronism and stability, the purpose that improved the control ac- curacy of multi-motor synchronization control system can be achieved.

关 键 词：同步控制 神经元PID 偏差耦合 模糊 仿真 

分 类 号：TM301.2[电气工程—电机] TG65[金属学及工艺—金属切削加工及机床]