摘要
本文针对性的提出了基于递归型小波神经网络的自适应控制性能的方案,该算法计算量减少,简化了控制结构,它可随着伺服驱动系统的运行情况的改变控制系统的结构参数,提高了伺服驱动系统对参数变化的性能,同时,也较好地改善了伺服驱动控制系统的稳态性能。通过仿真的结果验证了该控制系统方案的有效性和可行性。
This paper put forward the scheme of adaptive control performance based on recursive type of wavelet neural network.This algorithm reduces computation,simplifies the control structure,and can control the structural parameters of system as the operation change of servo drive system to improve the performance of servo drive system to the parameters,while also better to improve the steady state performance of the servo drive control system.The simulation results verify the effectiveness and feasibility of the control system plan.
出处
《价值工程》
2010年第28期121-121,共1页
Value Engineering
关键词
感应电动机
伺服驱动系统
自适应控制
递归型小波神经网络
induction motor
servo drive system
adaptive control
recursive type of wavelet neural network
