工矿自动化2011，Vol.37Issue(5)：34-37,4.DOI:CNKI:32-1627/TP.20110428.1946.016
基于BP神经网络PID控制的PMLSM调速系统设计
Design of Speed-regulation System of PMLSM Based on BP Neural Network PID Control
摘要
Abstract
For characteristics of nonlinearity, time-varying volatility and nonstationarity to disturbance of hoisting system of PMLSM, an improved PMLSM speed-regulation system was designed on basis of established PMLSM d-q axis dynamic mathematical model and BP neural network PID control. The system modifies the fixed learning rate in BP neural network to a self-adaptive one, and adds momentum to reduce oscillation tendency in learning process, so it greatly improves convergence speed and avoid that network falls into a local minimum. The simulation result showed that using the improved BP neural network PID controller can make PMLSM speed-regulation system reduce adjusting time and overshoots greatly and accelerat response speed, and make the hoist system have better dynamic performance and robustness.关键词
永磁直线同步电动机/动态数学模型/BP神经网络PID控制/调速系统/速度控制器Key words
PMLSM/ dynamic mathematical model/ BP neural network PID control/ speed-regulation system/ speed controller分类
矿业与冶金引用本文复制引用
余琼霞,王福忠..基于BP神经网络PID控制的PMLSM调速系统设计[J].工矿自动化,2011,37(5):34-37,4.基金项目
国家自然科学基金资助项目(61074095),河南省科技厅基金项目(094300510015) （61074095）
