A Systematic Approach to Fuzzy-model-based Robust $$H_\infty$$ H ∞ Control Design for a Quadrotor UAV Under Imperfect Premise Matching

A Systematic Approach to Fuzzy-model-based Robust $$H_\infty$$ H ∞ Control Design for a... In this paper, a systematic procedure to design a robust $$H_\infty$$ H ∞ controller for a quadrotor unmanned aerial vehicle is proposed. To do this, the nonlinear dynamic behavior of the quadrotor attitude system is represented as the Takagi–Sugeno (T–S) fuzzy model. Using the derived T–S fuzzy model, a sufficient condition guaranteeing the asymptotic stability and $$H_\infty$$ H ∞ disturbance attenuation performance is proposed based on an linear matrix inequality. Unlike the previous studies employing the parallel-distributed-compensation concept, in this paper, the robust $$H_\infty$$ H ∞ controller is designed under the imperfect premise matching condition in which the fuzzy controller uses the different membership functions from those of the fuzzy system. Thus, compared to the conventional methods, the hardware implementation cost of the proposed fuzzy controller is decreased even if the membership functions of the fuzzy system are complicated. Finally, some numerical examples are given to show the effectiveness of the proposed method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Fuzzy Systems Springer Journals

A Systematic Approach to Fuzzy-model-based Robust $$H_\infty$$ H ∞ Control Design for a Quadrotor UAV Under Imperfect Premise Matching

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2016 by Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Operations Research, Management Science
ISSN
1562-2479
eISSN
2199-3211
D.O.I.
10.1007/s40815-016-0233-6
Publisher site
See Article on Publisher Site

Abstract

In this paper, a systematic procedure to design a robust $$H_\infty$$ H ∞ controller for a quadrotor unmanned aerial vehicle is proposed. To do this, the nonlinear dynamic behavior of the quadrotor attitude system is represented as the Takagi–Sugeno (T–S) fuzzy model. Using the derived T–S fuzzy model, a sufficient condition guaranteeing the asymptotic stability and $$H_\infty$$ H ∞ disturbance attenuation performance is proposed based on an linear matrix inequality. Unlike the previous studies employing the parallel-distributed-compensation concept, in this paper, the robust $$H_\infty$$ H ∞ controller is designed under the imperfect premise matching condition in which the fuzzy controller uses the different membership functions from those of the fuzzy system. Thus, compared to the conventional methods, the hardware implementation cost of the proposed fuzzy controller is decreased even if the membership functions of the fuzzy system are complicated. Finally, some numerical examples are given to show the effectiveness of the proposed method.

Journal

International Journal of Fuzzy SystemsSpringer Journals

Published: Aug 10, 2016

References

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