改进的RBF神经网络PID算法在电液伺服系统中应用

Improved RBF Neural Network PID Control Strategy Used in Electro-Hydraulic Servo System

为克服传统PID控制电液伺服系统时存在参数整定不良,动态响应特性欠佳的问题,采用RBF神经网络PID对系统进行控制,并针对控制中存在的问题对控制算法进行改进,仿真和实验研究表明,改进的RBF-PID控制算法较RBFPID和传统PID具有较快的响应速度和较好的鲁棒性。

In order to overcome the problem of presence of parameter setting and poor dynamic response in traditional PID control electro-hydraulic servo system, the RBF neural network PID was used to control system. Aimed at the problems existing in control, the control algorithm was improved. The results of the simulation and experimental research show that the improved RBF-PID control algo- rithm effect is obviously better than the RBF-PID and traditional PID control strategy. It has faster response speed and better robustness.