时变大时滞神经元自适应预测PID控制器

An Adaptive Neuron PID Controller with Optimal Prediction for Unknown Time-varying Delay Systems

本文提出一种克服时变大时滞、扰动及被控过程参数时变的神经元自适应预测 PID控制算法。该算法利用预测控制克服时滞 ,利用智能方法优化 PID控制器的参数。通过对工业过程中典型的大时滞被控过程进行数字仿真 ,看出这种控制算法鲁棒性强、响应速度快、抗干扰能力强 ,是一种把智能寻优和预测控制相结合的有效的控制方法 。

In this paper,an adaptive neuron PID controller with optimal prediction which is suitable for the process with unknown time varying delay,disturbance and time varying parameters is presented.The simulation results show that the controller has enhanced the response speed and robustness.It is an effective control algorithm combined intelligent control with predictive control.