ADAPTIVE NEURAL NETWORK CONTROL FOR DRUM WATER LEVEL BASED ON FUZZY SELF-TUNING

摘要：

An adaptive neural network control strategy based on fuzzy self-tuning is presented. The strategy is applied to the control system for drum water level of coal-fired power plant.Fuzzy inference engine (FIE) is used to train neural network online. The control strategy possesses feed forward compensation ability for steam flow disturbance by introducing the steam flow signal to neural network controller.Robust controller is constructed to guarantee good regulating performance while dynamic behavior of the controlled plant changes or external steam flow disturbance exists. In contrast to conventional cascade PID control, simulation results show efficiency and superiority of the proposed strategy.

关键词： Neural networks Adaptive control Drum water level feedforward compensation

作者: PU HAN XIN-JING MAO SONG-MING JIAO HAI-RONG SUN LI-HUI ZHOU

作者单位: Department of Automation, North China Electric Power University, Baoding,071003, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 314-318

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）