A Bioinspired Dynamics-Based Adaptive Tracking Control for Nonlinear Suspension Systems

Huihui Pan, Xingjian Jing, Weichao Sun, Huijun Gao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

73 Citations (Scopus)

Abstract

This paper investigates the energy-efficiency design of adaptive control for active suspension systems with a bioinspired nonlinearity approach. To this aim, a bioinspired dynamics-based adaptive tracking control is proposed for nonlinear suspension systems. In many existing techniques, one important effort is used for canceling vibration energy transmitted by suspension inherent nonlinearity to improve ride comfort. Unlike existing methods, the proposed approach takes full advantage of beneficial nonlinear stiffness and damping characteristics inspired by the limb motion dynamics of biological systems to achieve advantageous nonlinear suspension properties with potentially less energy consumption. The stability analysis of the desired bioinspired nonlinear dynamics is conducted within the Lyapunov framework. Theoretical analysis and simulation results reveal that the proposed bioinspired nonlinear dynamics-based adaptive controller has a significant impact on the amount of energy consumption, considering the same basic control method and random excitation of road irregularity for a similar ride comfort performance.
Original languageEnglish
Pages (from-to)903-914
Number of pages12
JournalIEEE Transactions on Control Systems Technology
Volume26
Issue number3
DOIs
Publication statusPublished - 1 May 2018

Keywords

  • Active suspension systems
  • bioinspired dynamics
  • energy efficiency
  • nonlinearity

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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