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A complex control system based on the fuzzy PID control and state predictor feedback control
作者姓名:ZhengxiLi  JieLiu  DehuiSun  RentaoZhao
作者单位:[1]Northchinauniversityoftechnology,Beijing100041,China [2]AnshanIron&SteelGroup,Anshan114021,China
摘    要:A multi-mode adaptive controller was proposed. The controller features in the combination of Bang-bang and Fuzzy PID controls with state predictor. When large error exists, the controller operates in Bang-bang mode, otherwise it works as a fuzzy PID controller. For only few parameters to be adjusted, the real time controlled system achieveed good stability and fast response. Furthermore, the introduction of state observer was also discussed to extend the capability of the proposed controller to the plant with time-delay factors. The classical PID controller and the multi-mode controller were applied to the same second-order system successively. By comparison of the simulation results, the effectiveness of the controller were shown. At last, on electric-wire production line, this approach was practiced to control electric-wire diameter with an additive random disturbance signal. The test result further proved the effectiveness of the multi-mode controller.

关 键 词:复杂控制系统  模糊PID控制  反馈控制  闭环控制系统  时间延迟

A complex control system based on the fuzzy PID control and state predictor feedback control
ZhengxiLi JieLiu DehuiSun RentaoZhao.A complex control system based on the fuzzy PID control and state predictor feedback control[J].Journal of University of Science and Technology Beijing,2004,11(1):90-93.
Authors:Zhengxi Li  Jie Liu  Dehui Sun  Rentao Zhao
Abstract:A multi-mode adaptive controller was proposed. The controller features in the combination of Bang-bang and Fuzzy PID controls with state predictor. When large error exists, the controller operates in Bang-bang mode, otherwise it works as a fuzzy PID controller. For only few parameters to be adjusted, the real time controlled system achieveed good stability and fast response. Furthermore, the introduction of state observer was also discussed to extend the capability of the proposed controller to the plant with time-delay factors. The classical PID controller and the multi-mode controller were applied to the same second-order system successively. By comparison of the simulation results, the effectiveness of the controller were shown. At last, on electric-wire production line, this approach was practiced to control electric-wire diameter with an additive random disturbance signal. The test result further proved the effectiveness of the multi-mode controller.
Keywords:multi-mode  fuzzy PID  state predictor  time delay
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