Optimized Sensorless Antivibration Control for Semiactive Suspensions with Cosimulation Analysis

Hsin Han Chiang, Yen Lin Chen, Kou Cheng Hsu

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


This paper proposes an optimized sensorless control methodology to design semiactive controllers for vehicle vibration control. The semiactive suspension model including filtered feedback scheme and actuator dynamics is first investigated. Furthermore, to estimate the immeasurable states for feedback control, an observer considering practical applications is introduced, while the exponential convergence and the stability of the overall system are guaranteed. A direct fuzzy compensation scheme with genetic optimization is used to release the constraint requiring, in advance, the precise upper bound of system uncertainties in the control gain design. With the cosimulation approach, the multibody virtual prototype of a sedan with the proposed system is tested under various road conditions in a near real environment. The cosimulation data and results for a full-car semiactive suspension system are provided to validate the effectiveness of the proposed control system.

Original languageEnglish
Article number6918509
Pages (from-to)1898-1911
Number of pages14
JournalIEEE/ASME Transactions on Mechatronics
Issue number4
Publication statusPublished - 2015 Aug 1
Externally publishedYes


  • Genetic fuzzy control
  • semiactive control
  • sensorless
  • vehicle suspension
  • vibration control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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