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机构地区:[1]School of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710121, China
出 处:《The Journal of China Universities of Posts and Telecommunications》2011年第5期114-117,128,共5页中国邮电高校学报(英文版)
基 金:supported by the Natural Science Foundation of Shaanxi Province (2007F18);the Scientific Research Program of Shaanxi Provincial Education Department (2010JC19)
摘 要:The long time-delay often exists in industrial process. In order to overcome the big overshoot and long regulating time of the long time-delay system control, a new fuzzy self-adaptive PI-Smith control method is proposed. This method combines the Smith predictive control with fuzzy self-adaptive proportional-integral (PI) control. The traditional proportional-integral-derivative (PID) controller in Smith predictive control is replaced by fuzzy PI controller which utilizes the principle of fuzzy control to tune parameters of PI controller on-line. The results of simulation for electric furnace show that the method has the advantages of shortening regulating time, no overshoot, no steady-state error, excellent control accuracy, and good adaptive ability to the change of system model.The long time-delay often exists in industrial process. In order to overcome the big overshoot and long regulating time of the long time-delay system control, a new fuzzy self-adaptive PI-Smith control method is proposed. This method combines the Smith predictive control with fuzzy self-adaptive proportional-integral (PI) control. The traditional proportional-integral-derivative (PID) controller in Smith predictive control is replaced by fuzzy PI controller which utilizes the principle of fuzzy control to tune parameters of PI controller on-line. The results of simulation for electric furnace show that the method has the advantages of shortening regulating time, no overshoot, no steady-state error, excellent control accuracy, and good adaptive ability to the change of system model.
关 键 词:SELF-ADAPTIVE fuzzy PI control Smith predictive control long time-delay
分 类 号:TP273.4[自动化与计算机技术—检测技术与自动化装置] TP273[自动化与计算机技术—控制科学与工程]
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