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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2008, Vol. 29 ›› Issue (4): 988-994.

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Nonlinear Predictive Control of an Aerospace Vehicle Based on Adaptive Fuzzy Systems

Fang Wei,Jiang Changsheng   

  1. College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics
  • Received:2007-06-18 Revised:2007-09-20 Online:2008-07-10 Published:2008-07-10
  • Contact: Fang Wei

Abstract:

This article investigates the design of an adaptive fuzzy predictive control law to uncertain nonlinear systems. The controller consists of two parts: an nonlinear predictive controller which is based on fuzzy system, and a robust adaptive controller. According to the tracking error, the adaptive fuzzy controller is constructed to approximate the uncertain nonlinear systems, and the weight parameters of fuzzy system change online. Based on Taylor equation, the fuzzy adaptive predictive control law is achieved,and because online optimization is not required, the huge calculation burden of predictive control can be avoided. The robust controller is used to attenuate the effects of external disturbance and approximation errors of fuzzy systems. Using Lyapunov theory, it is proven that the overall system is uniformly ultimately bounded. Finally, the flight control system of aerospace vehicle under hypersonic condition is designed by the proposed method. Simulation results demonstrate the effectiveness of the method.

Key words: nonlinear , uncertain , system,  , predictive , control,  , adaptive , fuzzy , system,  , hypersonic,  , aerospace , vehicle

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