工矿自动化2011，Vol.37Issue(8)：64-67,4.DOI:32-1627/TP.20110807.1133.019
二次型单神经元自适应算法在电动机控制中的应用
Application of Quadratic Single Neuron Adaptive Algorithm in Motor Control
刘宁宁 1孙伟 1娄奔月 1丁立伟2
作者信息
- 1. 中国矿业大学信电学院,江苏徐州 221008
- 2. 兖矿集团电铝分公司,山东邹城 273500
- 折叠
摘要
Abstract
In view of problem that current control method of speed-regulation system of DC motor has poor control effect caused by fixed parameters of PID controller, the paper put forward an adaptive PID control algorithm with quadratic single neuron, namely quadratic performance indexes was introduced in adjustment of weighting coefficients, and expecting optimization effect was gotten by calculating control law. The Matlab simulation result showed that the method can improve dynamic process performance of control system, reduce overshoot, shorten settling time and has some certain anti-interference ability.关键词
直流电动机/调速系统/PID控制/二次型单神经元自适应控制Key words
DC motor, speed-regulation system, PID control, quadratic single neuron adaptive control分类
矿业与冶金引用本文复制引用
刘宁宁,孙伟,娄奔月,丁立伟..二次型单神经元自适应算法在电动机控制中的应用[J].工矿自动化,2011,37(8):64-67,4.
