Multiple model adaptive control of a nonlinear active vehicle suspension

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Widely varying operating mode dynamics, uncertain parameters and nonlinear behaviour are inherrent characteristics of vehicle suspensions. Mechatronic vehicle suspensions seek to produce improved ride and handling performance by providing active control action that addresses these problems. Inappropriately designed controllers may lead to poor performance or even possible instability. In this work, a multiple model adaptive control scheme is proposed for a non linear mechatronic suspension subjected to variations in sprung mass and road profile input. Proportional-Integral-Derivative (PID) candidate controllers corresponding to four operating mode conditions were optimally designed a priori. Weighted control inputs from these candidate controllers were then used to form the actual control action on the plant. To ensure stability, the control system was designed within the framework of adaptive mixing control. Results from simulation tests showed significantly improved performance for both sprung mass acceleration (corresponding to ride) and tyre force (corresponding to handling) compared to that of passive suspensions. Based on RMS values of sprung mass acceleration and tyre force, the proposed control scheme also produced improved performance over LQG and μ-synthesis controlled active systems.

Original languageEnglish
Title of host publicationConference Proceedings - 2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016
PublisherIEEE Computer Society
Pages153-158
Number of pages6
ISBN (Electronic)9781509053469
DOIs
Publication statusPublished - 10 Jan 2017
Event2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016 - Melbourne, Australia
Duration: 30 Nov 20163 Dec 2016

Other

Other2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016
CountryAustralia
CityMelbourne
Period30/11/163/12/16

Fingerprint

Vehicle suspensions
Mechatronics
Tires
Controllers
Derivatives
Control systems

Keywords

  • Adaptive mixing control
  • Hybrid systems
  • Multiple model adaptive control
  • Nonlinear active suspension
  • Stability

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Mohamed Haris, S., & Aboud, W. S. (2017). Multiple model adaptive control of a nonlinear active vehicle suspension. In Conference Proceedings - 2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016 (pp. 153-158). [7813438] IEEE Computer Society. https://doi.org/10.1109/ICAMechS.2016.7813438

Multiple model adaptive control of a nonlinear active vehicle suspension. / Mohamed Haris, Sallehuddin; Aboud, Wajdi S.

Conference Proceedings - 2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016. IEEE Computer Society, 2017. p. 153-158 7813438.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohamed Haris, S & Aboud, WS 2017, Multiple model adaptive control of a nonlinear active vehicle suspension. in Conference Proceedings - 2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016., 7813438, IEEE Computer Society, pp. 153-158, 2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016, Melbourne, Australia, 30/11/16. https://doi.org/10.1109/ICAMechS.2016.7813438
Mohamed Haris S, Aboud WS. Multiple model adaptive control of a nonlinear active vehicle suspension. In Conference Proceedings - 2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016. IEEE Computer Society. 2017. p. 153-158. 7813438 https://doi.org/10.1109/ICAMechS.2016.7813438
Mohamed Haris, Sallehuddin ; Aboud, Wajdi S. / Multiple model adaptive control of a nonlinear active vehicle suspension. Conference Proceedings - 2016 International Conference on Advanced Mechatronic Systems, ICAMechS 2016. IEEE Computer Society, 2017. pp. 153-158
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