模糊RBF神经网络在纯滞后系统中的应用

RBF Fuzzy Neural Network in Time-delay Control System

在工业过程控制系统中,许多被控对象具有纯滞后的性质,这种纯滞后环节将导致系统不稳定。针对这种情况设计了一种控制器,这种控制器结合了模糊控制和神经网络控制的优点,可以在线调整得到一组最优的PID控制参数。仿真结果表明这种控制器结构简单,对纯滞后系统的控制效果良好。

Many objects have the time-delay feature which will lead the instability of the system in industrial control process. The paper presents a PID controller which has integrated the advantages of traditional PID, neural network control and fuzzy control and can get the best PID parameters by on-line self-adjustment. Simulation results indicate that this controller not only has a simple structure, but also can improve the control effect greatly.