安徽农业大学学报2012，Vol.39Issue(1)：154-158,5.DOI:34-1162/S.20111230.1123.001
基于RBF神经网络整定PID的PMLSM控制研究
RBF neural network- based setting PID in controlling PMLSM
曹文霞 1汪永华 1钱多德2
作者信息
- 1. 安徽水利水电职业技术学院机械工程系,合肥231603
- 2. 安徽江淮汽车股份有限公司技术中心,合肥230601
- 折叠
摘要
Abstract
In this paper, a math model of permanent magnet linear synchronous motor (PMLSM) was intro duced, Because PMLSM has characteristics of nonlinear, coupling and load disturbance, common PID controller can't reach an ideal control effect, while radial basis function (RBF) neural network has the ability of studying quickly, without local minimums, and better approaching, so the RBF was combined with PID in controlling PMLSM. Matlab simulation results demonstrated that the control system has better approaching ability, better ad aptation and preventing disturbance ability.关键词
直线永磁同步电机/RBF神经网络/PID控制/matlab仿真Key words
PMLSM/ RBF neural network/ PID control/ matlab simulation分类
信息技术与安全科学引用本文复制引用
曹文霞,汪永华,钱多德..基于RBF神经网络整定PID的PMLSM控制研究[J].安徽农业大学学报,2012,39(1):154-158,5.
