Direct adaptive fuzzy predictive control for a class of multivariable nonlinear systems

作者：Shi Wu Xi^*; Guo Li Jin; Guo Wen Cheng

来源：Systems Engineering and Electronics, 2012, 34(3): 544-548.

DOI：10.3969/j.issn.1001-506X.2012.03.21

• Adaptive fuzzy
• Adaptive fuzzy control
• Adaptive laws
• Approximation errors
• Control schemes
• Linear time varying
• Multivariable nonlinear systems
• Predictive control
• Predictive control methods
• Predictive controller
• Predictive models
• Submodels
• Time-varying gains
• Tracking errors

A direct adaptive fuzzy predictive control method for a class of unknown multivariable nonlinear systems is presented. In this method, the plant is represented by a predictive model consisting of a linear time varying submodel plus a nonlinear submodel, then the fuzzy systems are used to design a predictive controller directly, and the unknown vector in the controller and the estimated value of the approximation error are adjusted by the time-varying gain adaptive law. It is proved that the proposed method can make the tracking error converge to a neighborhood of the origin. Simulation results demonstrate the effectiveness of the proposed control scheme.

• 出版日期2012
• 单位天津工业大学