电液伺服速度系统的模糊增益调度控制

针对电液伺服速度系统的非线性和参数时变特性,提出了模糊增益调度控制方法.根据系统的输出误差和误差的一阶微分变化,利用模糊推理在线实时更改比例积分微分(PID,Proportion Integral Differential)控制器参数以适应工作点的变化,使系统控制参数达到全局优化,解决了一般增益调度中控制参数只是对于某一工作点局部优化的问题;在确定P和I隶属度函数时,引入指数函数保证了系统稳准前提下响应的快速性.试验研究表明,与单纯PID控制器相比,模糊增益调度缩短了动态响应时间、降低了超调、减小了负载扰动,说明该方法对非线性系统和未能精确建模系统大范围控制的有效性.

Fuzzy gain scheduling control for electro-hydraulic servo velocity system

Considering the nonlinear and the parameters variability,which vary widely with the working condition in the electro-hydraulic servo velocity system,fuzzy gain scheduling controller was developed.Based on the change of output error and its differential,the PID(proportion integral differential)parameters of controller were changed online by fuzzy reasoning in order to adapt the variety of set point and this made the control parameters reach the global optimization,solved the local optimization problem in the common gain scheduling.In the course of determine membership function of P and I,exponential function was introduced and this ensured the fast response and stability of system.Test results indicate that comparing with PID,the method accelerates the dynamic response,reduces the overshoot and load turbulence effectively too.So it is very validity for nonlinear system and the mathematic prototype system that can't be built easily.