AFSMC-PID CONTROL FOR MAIN STEAM TEMPERATURE

摘要：

The main steam temperature system is a typical controlled process with parameter-varying and external disturbance. Due to these characteristics, good control quality cant be gained when using the normal PID controller. In this paper, an adaptive fuzzy sliding mode control scheme is proposed. The control scheme is based on sliding mode controller with integral compensation. The uncertainties are approximated based on fuzzy theory. An adaptive law is adopted to speed up tracking error to convergence zero asymptotically. The stability of the proposed controller is shown using Lyapunov method. The proposed method is applied to main steam temperature system. Comparing with conventional PID cascade control, simulation results indicate that the proposed controller is robust and improves tracking accuracy considerably.

关键词： Sliding mode control Integral Adaptive Main steam temperature

作者: XI-YUN YANG XIN-RAN LIU DA-PING XU

作者单位: Department of Automation, North China Electric Power University, Beijing 102206,People Republic of China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 1872-1876

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）