A wide-range operating fuzzy control algorithm via receding horizon optimization

This paper presents a novel fuzzy control strategy for a wide-range of operating condition system. Considering system error and the change rate of system error, a PI type fuzzy controller is obtained. On the basis of the novel fuzzy controller, a receding horizon optimization method to tune the fuzzy controller parameters is given through minimizing the generalized predictive control criterion. Therefore, the PI-type fuzzy controller has the capability to adapt a wide-range of operating condition. Then, a simple and sufficient bound condition of input and output variable is achieved under the Lyapunov theory with brief analysis. Simulation results demonstrate the better performance of this novel fuzzy control scheme.

[1]  David W. Clarke,et al.  Generalized predictive control - Part I. The basic algorithm , 1987, Autom..

[2]  Cristian Georgescu,et al.  Fuzzy predictive PID controllers: a heating control application , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[3]  Yongsheng Ding,et al.  Typical Takagi-Sugeno PI and PD fuzzy controllers: analytical structures and stability analysis , 2003, Inf. Sci..

[4]  Cheng-Ching Yu,et al.  Autotuning of PID Controllers: Relay Feedback Approach , 1999 .

[5]  Guanrong Chen,et al.  Fuzzy PID control of a flexible-joint robot arm with uncertainties from time-varying loads , 1997, IEEE Trans. Control. Syst. Technol..

[6]  James J. Buckley,et al.  Fuzzy controller theory: Limit theorems for linear fuzzy control rules , 1989, Autom..

[7]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

[8]  Guanrong Chen,et al.  Predictive fuzzy PID control: theory, design and simulation , 2001, Inf. Sci..

[9]  R. Babuska,et al.  Comparison of conventional and fuzzy predictive control , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[10]  George K. I. Mann,et al.  Analysis of direct action fuzzy PID controller structures , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[11]  Masaharu Mizumoto,et al.  PID type fuzzy controller and parameters adaptive method , 1996, Fuzzy Sets Syst..

[12]  Hao Ying,et al.  Theory and application of a novel fuzzy PID controller using a simplified Takagi-Sugeno rule scheme , 2000, Inf. Sci..