Adaptive Control Using Compensatory Fuzzy Neural Network for Vertical Electric Furnace
The vertical electric furnace is a multi-variable complex system, conventional control methods are used to control it, to need modelling and decoupling. In this paper, a model reference adaptive control using the compensatory fuzzy neural network for the vertical electric furnace is presented. The dynamics model of the neural network of the system is identified by the adaptive compensatory fuzzy learning algorithm, which it can be employed as the identifier of the system. Another neural network is trained to learn the inverse dynamics of the vertical electric furnace so that it can be used as a nonlinear controller. The simulation results testify that the model is satisfied and the control is effective.
model reference adaptive control compensatory fuzzy neural network vertical electric furnace multi-variable system
Hongxing Li Bingzhang Luo
Automation College Beijing Union University Beijing 100101,China AOC Department Shanghai Pudong International Airport Co.,Ltd.Shanghai 201202,China
国际会议
2010 IEEE信息与自动化国际会议(ICIA 2010)
哈尔滨
英文
1-6
2010-06-20(万方平台首次上网日期,不代表论文的发表时间)