基于混沌的小波神经网络免疫PID控制器

Wavelets Neural Network Immune PID Controller Based On Chaos

针对目前大多数智能PID控制器存在的诸如设计复杂、计算量大、收敛速度慢以及控制精度相对较差等问题,提出一种基于混沌优化的小波神经网络免疫PID控制器的设计方法,该方法用小波神经网络逼近免疫PID的非线性函数,并且引入混沌机制优化免疫PID的参数,进而将该控制器用于工业加热炉的控制,仿真与实验结果表明,该控制器的控制性能优于其它类型的智能PID控制器以及常规PID控制器。

In this paper, an immune PID controller based on wavelets neural network optimized by chaos is designed aiming at such problems as complex design, complex computation, convergence slowly as well as the relatively poor controlling precision exited in current PID intelligent controller. A wavelets neural network is adopted to approach the nonlinear function of immune PID controller. We adopt it to control the industrial heating furnace. The simulation experiments show that the performance of controller is better than of other type intelligent and conventional PID controller.