Implementation of Adaptive Impedance Controller using Fuzzy Inference

퍼지추론을 이용한 적응 임피던스 제어기의 구현

  • 임용택 (순천향대 공대 제어계측공학과) ;
  • 김승우 (순천향대 공대 제어계측공학과)
  • Published : 2001.09.01

Abstract

This paper proposes adaptive impedance control algorithm using fuzzy inference when robot contacts with its environments. The characteristics of the adaptive impedance controller is to adapt with parametric uncertainty and nonlinear conditions. The control algorithm is to join impedance controller with fuzzy inference engine. The proposed control method overcomes the problem of impedance controller using gain-tuning algorithm of fuzzy inference engine. We implemented an experimental set-up consisting of environment-generated one-link robot system and DSP system for controller development. We apply the adaptive fuzzy impedance controller to one-link root system, and it shows the good performance on regulating the interactive force in case of contacting with arbitrary environment.

Keywords

References

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