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Distributed Model Predictive Control and Implementation for Vehicle Active Suspensions

  • Harbin Institute of Technology

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper proposes a distributed model predictive control (DMPC) method for a half-vehicle system with active suspensions. First, the half-vehicle system is divided into three subsystems to reduce the system dimension. Considering the distribution characteristics of suspension control systems, a DMPC controller is designed for each suspension subsystem in order to inhibit the vehicle vertical and pitch motion. To evaluate the proposed control system, controllers with low cost micro-control units (MCU) are implemented, where a fast MPC method for real-time optimization based on continuation/general minimum residual (C/GMRES) method is realized and in-vehicle network FlexRay is used to exchange control information among these controllers. Finally, the implementation of DMPC controllers in MCUs is finished and the results show that vehicle comfortability can be improved by the proposed controllers.

Original languageEnglish
Pages (from-to)961-966
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number31
DOIs
StatePublished - 2018
Event5th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, E-COSM 2018 - Changchun, China
Duration: 20 Sep 201822 Sep 2018

Keywords

  • Distributed model predictive control
  • FlexRay communication
  • active suspension
  • half-vehicle model
  • real-time optimization

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