水位控制是工業(yè)鍋爐控制系統(tǒng)中一個(gè)重要的環(huán)節(jié)，其控制質(zhì)量的優(yōu)劣直接影響到鍋爐
的安全和經(jīng)濟(jì)效益。本文將一種基于模糊RBF 神經(jīng)網(wǎng)絡(luò)的PID 控制器應(yīng)用與工業(yè)鍋爐水位的控制當(dāng)中，它結(jié)合了傳統(tǒng)PID 以及神經(jīng)網(wǎng)絡(luò)和模糊控制的優(yōu)點(diǎn)，可以在線調(diào)整得到一組最優(yōu)的PID 控制參數(shù)。仿真結(jié)果表明這種控制器具有較好的適應(yīng)性，控制效果得到明顯改善。
關(guān)鍵詞：鍋爐水位；模糊神經(jīng)網(wǎng)絡(luò)； PID 控制；參數(shù)調(diào)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