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Proceedings Paper

Application of dynamic decoupling fuzzy control method in aircraft gust alleviation
Author(s): Aijun Li; Jian Tan; Weiguo Zhang; Xun Sun
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Paper 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.

Paper Details

Date Published: 30 October 2006
PDF: 5 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63582I (30 October 2006); doi: 10.1117/12.717964
Show Author Affiliations
Aijun Li, Northwestern Polytechnical Univ. (China)
Jian Tan, Northwestern Polytechnical Univ. (China)
Weiguo Zhang, Northwestern Polytechnical Univ. (China)
Xun Sun, Northwestern Polytechnical Univ. (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation
Jiancheng Fang; Zhongyu Wang, Editor(s)

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