基于RBF神经网络PID控制的水压加载系统研究

Research for Water Loading System Based on RBF Neural Network PID Controller

为了实现水压加载系统能够精确控制的要求,利用径向基函数(RBF)结构简单、收敛速度快、逼近能力强的特点,提出一种新型基于RBF神经网络整定PID的控制方式。MATLAB仿真结果表明,该控制器易于实现PID参数的自整定,能够有效地缩短过渡过程时间,具有很好的稳定性和快速响应性,比普通PID控制具有更好的控制效果。

In order to achieving high precise tracking performance of water loading system,a new PID controller based on RBF Neural network is presented.RBF absorbs simple structure,fast-convergence and infinity approaching system.The MATLAB simulation results show that the controller is easy to self-tuning the paragraphs of PID.It can shorten the transient response obviously and the water loading system holds good stability.The new controller has better control effect than general PID controllers.