Electro-hydraulic Servo System, Neural Network Adaptive Control

In this paper the research object is the electro-hydraulic servo system. According to the request of static-dynamic state precision and the celerity of response, a controller with good performance has been designed, aimed at the nonlinearity time-varied big inertia and variety load characteristic of the object.On the basis of the hardware design of the object and system model, a nerve net self-adapting controller which includes a nerve net identification and a nerve net controller has been designed. These nerve nets all use a new BP algorithm. The intelligent control algorithm is programmed using C++ language after the controller has been designed.According to the results of the simulation and experiments, the nerve net self-adapting controller has the high quality of static-dynamic performance and restrains the infection to system performance under hard circumstances as large inertia variety load and the disturber of the outside. It can achieve the guideline of the project well.