基于RBF神经网络的PID控制器

PID controller based on RBF neural network

水位控制是工业锅炉控制系统中一个重要的环节,其控制质量的优劣直接影响到锅炉的安全和经济效益。将一种基于RBF神经网络的PID控制器应用于工业锅炉水位的控制当中,它结合了传统PID和神经网络的优点,可以在线调整得到一组最优的PID控制参数。仿真结果表明,这种控制器具有较好的适应性,控制效果得到明显改善。

The automated control of the steam package water level is a very important factor in industrial boiler production systems. The quality of the control will effect the safety and efficiency of the boiler. This article presents a controller which is based on neural networks and PID control in industrial boiler＇s water level. This controller which combines the advantages of the PID control and Neutral Networks control can get the best PID parameters by self-adjustment on line. The simulation study proves that this control system has a better adaptability and can improve the control effect greatly.