摘要
基于BP神经网络误差的传播机制,探讨建立在BP神经网络基础上的模型参考自适应控制与传统的PID控制相结合的控制方法,控制器通过在线的自学习不断进行适应性控制,以保证系统的输出符合期望的性能要求。用MATLAB软件仿真后表明,该方法具有方法简单,实时跟踪误差,易于实现等优点。
A scheme of model reference adaptive control based on BP neural network is presented, and this control is combined with the PID control. The parameters of the controller are adjusted by on-line conjugate gradient method. By the simulation results of the MATLAB indicated that the method is simple and easy to implemented.
出处
《现代制造工程》
CSCD
2006年第9期112-114,共3页
Modern Manufacturing Engineering
关键词
模型参考自适应控制
BP算法
PID控制
仿真
Model reference adaptive control Arithmetic of BP PID control Simulation
