水位控制是工業鍋爐控制系統中一個重要的環節，其控制質量的優劣直接影響到鍋爐
的安全和經濟效益。本文將一種基于模糊RBF 神經網絡的PID 控制器應用與工業鍋爐水位的控制當中，它結合了傳統PID 以及神經網絡和模糊控制的優點，可以在線調整得到一組最優的PID 控制參數。仿真結果表明這種控制器具有較好的適應性，控制效果得到明顯改善。
關鍵詞：鍋爐水位；模糊神經網絡； PID 控制；參數調整
RBF Fuzzy Neural Network in Boiler’s Water Control Liu min Ma junshuang? Tangshan College,Tangshan 063000,China ) Abstract： 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 affect the safety and efficiency of the boiler. This article presents a controller which is based on Fuzzy Neural Networks and PID control in industrial boiler’s water level. This controller which combines the advantages of the Fuzzy 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.
Key words：boiler’s water level ；Fuzzy Neural network； PID control；Parameter adjustment