An interval fuzzy controller for vehicle active suspension systems

  • Authors:

  • Jiangtao Cao;Ping Li;Honghai Liu

  • Affiliations:

  • School of Information and Control Engineering, Liaoning Shihua University, Fushun, China;School of Information and Control Engineering, Liaoning Shihua University, Fushun, China;School of Creative Technologies, University of Portsmouth, Portsmouth, U.K.

  • Venue:
  • IEEE Transactions on Intelligent Transportation Systems
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

A novel interval type-2 fuzzy controller architecture is proposed to resolve nonlinear control problems of vehicle active suspension systems. It integrates the Takagi-Sugeno (T-S) fuzzy model, interval type-2 fuzzy reasoning, the Wu-Mendel uncertainty bound method, and selected optimization algorithms together to construct the switching routes between generated linear model control surfaces. The stability analysis of the proposed approach is presented. The proposed method is implemented into a numerical example and a case study on a nonlinear half-vehicle active suspension system. The simulation results demonstrate the effectiveness and efficiency of the proposed approach.