International Journal of Aeronautical and Space Sciences

  • 제17권2호
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  • Pages.195-203
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  • 2016
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  • 2093-274X(pISSN)
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  • 2093-2480(eISSN)
한국항공우주학회 (The Korean Society for Aeronautical and Space Sciences)
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H infinity control design for Eight-Rotor MAV attitude system based on identification by interval type II fuzzy neural network

  • CHEN, Xiangjian (School of computer science and Engineering, Jiangsu university of science and technology) ;
  • SHU, Kun (China Shipbuilding Industry corporation 723) ;
  • LI, Di (China Shipbuilding Industry corporation 723)
  • 투고 : 2014.09.09
  • 심사 : 2016.06.10
  • 발행 : 2016.06.30
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초록

In order to overcome the influence of system stability and accuracy caused by uncertainty, estimation errors and external disturbances in Eight-Rotor MAV, L2 gain control method was proposed based on interval type II fuzzy neural network identification here. In this control strategy, interval type II fuzzy neural network is used to estimate the uncertainty and non-linearity factor of the dynamic system, the adaptive variable structure controller is applied to compensate the estimation errors of interval type II fuzzy neural network, and at last, L2 gain control method is employed to suppress the effect produced by external disturbance on system, which is expected to possess robustness for the uncertainty and non-linearity. Finally, the validity of the L2 gain control method based on interval type II fuzzy neural network identifier applied to the Eight-Rotor MAV attitude system has been verified by three prototy experiments.

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과제정보

연구 과제 주관 기관 : National Natural Science Found of China

참고문헌

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피인용 문헌

  1. Self-Tuning Proportional Double Derivative-Like Neural Network Controller for a Quadrotor pp.2093-2480, 2018, https://doi.org/10.1007/s42405-018-0091-6