Research On Controlling System Of The Pneumatic Transition-Manipulator

Pneumatic system has been widely used in industrial automation because of its unique advantages. As a kind of low cast, simple and anti pollution system , pneumatic proportional position servo system has become the top subjects in the fields of pneumatic servo technique in recent years. But it is difficult to obtain satisfied performance of the system because of the compressibility of air and the nonlinearity of the system. This paper studies the fundamental characteristics and the control method of the pneumatic proportional position servo system.This text combine PID with neural network, utilize to learn function real-time change parameter of controller by oneself neural network. Is it improve to make by method to emulation at the same time, non-linear mathematics model set up to utilize carry on emulation, have directive significance to the operation and design of the system. Pneumatic manipulator parameter will change constantly , bring heavy difficulty very to design of the controller in the course of job. Emulation result indicate because single controller , PID of neuron , learn by oneself , adaptive characteristic, improve valve accuse of jar pneumatic position servo dynamic performance of system , have resisting parametering perturbationing stupid and getting wonderful good. Have well realized the level orientation problem of the pneumatic manipulator.