A Study on Design of Neuro- Fuzzy Controller for Attitude Control of Helicopter

헬리콥터 자세제어를 위한 뉴로 퍼지 제어기의 설계에 관한 연구

  • 최용선 (원광대학교 제어계측공 학과 지능정보시스템 연구실) ;
  • 임태우 (원광대학교 제어계측공 학과 지능정보시스템 연구실) ;
  • 장경원 (원광대학교 제어계측공 학과 지능정보시스템 연구실) ;
  • 안태천 (원광대학교 제어계측공 학과 지능정보시스템 연구실)
  • Published : 2001.07.18

Abstract

This paper proposed to a neural network based fuzzy control (neuro-fuzzy control) technique for attitude control of helicopter with strongly dynamic nonlinearities and derived a helicopter aerodynamic torque equation of helicopter and the force balance equation. A neuro-fuzzy system is a feedforward network that employs a back-propagation algorithm for learning purpose. A neuro-fuzzy system is used to identify nonlinear dynamic systems. Hence, this paper presents methods for the design of a neural network(NN) based fuzzy controller(that is, neuro-fuzzy control) for a helicopter of nonlinear MIMO systems. The proposed neuro-fuzzy control determined to a input-output membership function in fuzzy control and neural networks constructed to improve through learning of input-output membership functions determined in fuzzy control.

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