Nonlinear Control of Active Suspensions using RBF Network with Asymmetric Hydraulic Cylinder

비대칭형 유압 실린더를 사용한 능동 현가 시스템의 RBF 신경회로망을 이용한 제어기 설계

  • 장유진 (포항공과대 전자전기공학과) ;
  • 김상우 (포항공과대 전자전기공학과)
  • Published : 1999.05.01

Abstract

This paper suggests a suboptimal control scheme of an active suspension system with an asymmetric hydraulic cylinder. In this paper a quarter car model including a nonlinear actuator dynamics is used. A feedback linearization technique is applied to obtain a linear model. An LQ regulator is designed with the linear model to keep robustness against sprung mass variation. The gain of the LQ regulator which depends on the damping coefficient of the damper is calculated by using an RBF neural network for real time application. The improvement achieved with our design is illustrated through comparative simulations.

Keywords

References

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