多输入多输出非线性系统的间接自适应模糊跟踪控制

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Indirect Adaptive Fuzzy Tracking Control for MIMO Nonlinear Systems

DU Zhen-bin, HU Shou-song

College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2004-09-02 Revised:2004-11-16 Online:2006-01-31 Published:2006-01-31

Abstract

Abstract:

Combining the adaptive fuzzy control with the adaptive fuzzy identification, this paper presents an indirect adaptive fuzzy control scheme for MIMO nonlinear systems. By using the tracking error and the identification error, the parameter adjusting laws are derived. Both errors improve the performance of the system by regulating the parameters. Extended fuzzy logic systems are used to estimate the multidimensional unknown functions, and the compensator eliminates fuzzy approximation errors and external disturbances. The control scheme guarantees the system stability and attains tracking. Simulation results demonstrate that the control scheme is effective.

Key words:

MIMO nonlinear systems, adaptive fuzzy control, identification, tracking control

DU Zhen-bin;HU Shou-song. Indirect Adaptive Fuzzy Tracking Control for MIMO Nonlinear Systems

[J]. Journal of Applied Sciences.

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Indirect Adaptive Fuzzy Tracking Control for MIMO Nonlinear Systems

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