Application of dynamic decoupling fuzzy control method in aircraft gust alleviation

Aijun Li; Jian Tan; Weiguo Zhang; Xun Sun

doi:10.1117/12.717964

30 October 2006 Application of dynamic decoupling fuzzy control method in aircraft gust alleviation

Aijun Li, Jian Tan, Weiguo Zhang, Xun Sun

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63582I (2006) https://doi.org/10.1117/12.717964
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Dynamic inversion method can not only remove a system's nonlinear factors, but also achieve the system's dynamic decoupling. But its decoupling effect completely depends on the accuracy of the mathematical model of the system. A dynamic decoupling fuzzy control method for MIMO system is presented in this paper, which employs the dynamic inversion method to decouple the multivariable system and introduces a fuzzy controller, without quantification, with correcting function, and expressed in analytic form to overcome the poor decoupling effect when the system model is inaccurate. It is feasible and convenient to compute, tune, and realize the control rules by computer, to adjust the parameters of the controller and to optimize the design of the control system, for the rules are described by analytical expression. The method is adopted to design vertical transition mode of an active control aircraft for gust alleviation. The control laws and simulation diagrams of the system are designed. Simulation results in MATLAB show that the vertical transition mode designed by dynamic decoupling fuzzy control method increases the gust-against effect by about 34% compared with that of a normal aircraft.

Citation Download Citation

Aijun Li, Jian Tan, Weiguo Zhang, and Xun Sun "Application of dynamic decoupling fuzzy control method in aircraft gust alleviation", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63582I (30 October 2006); https://doi.org/10.1117/12.717964

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