Fractional order controller design for a semi-active suspension system using Nelder-Mead optimization

Waqas Mehmood Baig, Zhichao Hou, Salman Ijaz

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

This paper presents application of a fractional order controller for a semi-active suspension system integrated with magnetorheological fluid damper. A quarter-car model is used in this research and only vertical motion of the vehicle is considered. In order to control the nonlinear behavior of the magnetorheological fluid damper (MRD) to achieve the optimal suspension performance, two controllers are designed for the whole system, namely a system controller and a damper controller. A fractional order proportional integral derivative (PID) controller is used as the system controller and a continuous state controller is employed as the damper controller. The Nelder-Mead optimization is adapted to tune the controller parameters according to the desire performance criteria. Simulation results clearly shows effectiveness of the proposed controllers as compared to a passive system and a traditional PID controlled MRD suspension system.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2808-2813
Number of pages6
ISBN (Electronic)9781509046560
DOIs
Publication statusPublished - 12 Jul 2017
Externally publishedYes
Event29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China
Duration: 28 May 201730 May 2017

Publication series

NameProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference29th Chinese Control and Decision Conference, CCDC 2017
Country/TerritoryChina
CityChongqing
Period28/05/1730/05/17

Keywords

  • Fractional Order Control
  • Magnetorheological
  • Nelder-Mead Optimization
  • Semi active
  • Suspension

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Control and Optimization

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