Optimizing vehicle MR damper semi-active suspension control system by L1 adaptive control with linear time invariant controller

Yongyut Uppatthangkul, Hiromitsu Ohmori

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

3 Citations (Scopus)

Abstract

In this research, we study on improving the ride comfort of vehicle for semi-active suspension model with MR damper including its hysteresis behavior which causes complexity for calculating process. There are two main objectives that are concerned in this research. One is that the controller must be able to have fast response and guarantee robustness. The latter is that the control scheme must be able to reduce the process time while the performance is not greatly dropped. Therefore, the suitable approach for these objectives is L1 adaptive control with Linear Time Invariant (LTI) Controller which will be applied in the control system. MATLAB is used for simulating the control system, and the performance is compared with the PID control system. The result shows that the L1 control method meets all this research purposes.

Original languageEnglish
Title of host publication2015 10th Asian Control Conference
Subtitle of host publicationEmerging Control Techniques for a Sustainable World, ASCC 2015
EditorsHazlina Selamat, Hafiz Rashidi Haruna Ramli, Ahmad Athif Mohd Faudzi, Ribhan Zafira Abdul Rahman, Asnor Juraiza Ishak, Azura Che Soh, Siti Anom Ahmad
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479978625
DOIs
Publication statusPublished - 2015 Sept 8
Event10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia
Duration: 2015 May 312015 Jun 3

Publication series

Name2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015

Other

Other10th Asian Control Conference, ASCC 2015
Country/TerritoryMalaysia
CityKota Kinabalu
Period15/5/3115/6/3

Keywords

  • MR damper
  • Non-homogeneous
  • adaptive control
  • nonlinear

ASJC Scopus subject areas

  • Control and Systems Engineering

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