International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Fuzzy Linear Parameter Varying Modeling and Control of an Anti-Air Missile

  • Mehrabian, Ali Reza (Dept. of Electrical and Computer Engineering, Faculty of Engineering and Computer Science, Concordia University) ;
  • Hashemi, Seyed Vahid (Department of Aerospace Engineering, K. N. Toosi University of Technology)
  • Published : 2007.06.30
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Abstract

An analytical framework for fuzzy modeling and control of nonlinear systems using a set of linear models is presented. Fuzzy clustering is applied on the aerodynamic coefficients of a missile to obtain an optimal number of rules in a Tagaki-Sugeno fuzzy rule-set. Next, the obtained membership functions and rule-sets are applied to a set of linear optimal controllers towards extraction of a global controller. Reported simulations demonstrate the performance, stability, and robustness of the controller.

Keywords

References

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