摘要
针对电液伺服系统的复杂非线性和参数不确定性特性,提出一种基于小波变换的"主控制器"结合"带有智能权函数模糊控制器"的复合控制策略,并用于电液伺服系统的多变量控制。主控制器由一个包含PID控制规则的神经网络构成,在整个系统控制中起着主导作用;"模糊控制器"的作用是抑制干扰,保证系统响应的快速性。仿真试验结果证明,该方法具有良好的自学习和自适应解耦控制性能,能有效地提高系统的稳态精度,使系统具有较强鲁棒性,并具有响应速度快、超调量小等特点;可用于电液伺服试验系统的多变量控制。
As for complicated characteristics of Electro-hydraulic Servo system,such as non-linearity and parameter un-definite,a composite controller algorithm of using a host controller combined with an intelligent weight function fuzzy controller based on wavelet transform is presented.The host controller is made up of neuron nets of containing PID control rules,it plays a leading role in the whole system controlling;fuzzy controller takes affect of restraining interference and ensures speedy of system responding .Simulation and testing show that this algorithm has good self study and adaptive decoupling control properties.It has good performance,small overshoot and can reduce the static error effectively.It may be used in multi variable control of Electro-hydraulic Servo testing system.
出处
《计算机测量与控制》
CSCD
2003年第12期943-946,共4页
Computer Measurement &Control
关键词
电液伺服试验系统
多变量控制
小波变换
神经网络
wavelet transform
system identification
electro-hydraulic servo system
multi variable system
PID neuron net control
fuzzy control
