Zhengxi Li, Me Liu, Dehui Sun, and Rentao Zhao, A complex control system based on the fuzzy PID control and state predictor feedback control, J. Univ. Sci. Technol. Beijing, 11(2004), No. 1, pp. 90-93.
Cite this article as:
Zhengxi Li, Me Liu, Dehui Sun, and Rentao Zhao, A complex control system based on the fuzzy PID control and state predictor feedback control, J. Univ. Sci. Technol. Beijing, 11(2004), No. 1, pp. 90-93.
Zhengxi Li, Me Liu, Dehui Sun, and Rentao Zhao, A complex control system based on the fuzzy PID control and state predictor feedback control, J. Univ. Sci. Technol. Beijing, 11(2004), No. 1, pp. 90-93.
Citation:
Zhengxi Li, Me Liu, Dehui Sun, and Rentao Zhao, A complex control system based on the fuzzy PID control and state predictor feedback control, J. Univ. Sci. Technol. Beijing, 11(2004), No. 1, pp. 90-93.
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.
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.