Performance and robustness assessment of Hactive anti-roll bar control system by using a software environment

Van Tan Vu, Peter Gaspar

Research output: Contribution to journalConference article


The active anti-roll bar system has been proven to be one of the most effective solutions to improve roll stability of heavy vehicles. In a previous work, the authors proposed an Hcontroller for this system. The Genetic Algorithms method was used to handle the vehicle roll stability and the energy consumption of the actuators via the Pareto optimality. This paper aims to assess the overall effectiveness of the proposed controller with nonlinear heavy vehicle models, which are already set up in the TruckSim® software. The controller is then evaluated in hard conditions to show the high performance and robust with the nonlinearity effects, such as the load distribution between the two axles, the side wind gusts and the abrupt steering. To conduct testing of the Hactive anti-roll bar control system, we propose a co-simulation structure between TruckSim® and Simulink®: the nonlinear vehicle model is determined from TruckSim®, based on using the block S-function of Simulink. Meanwhile, the controller and the actuators are built directly in the Matlab/Simulink ® environment. The validation results are made through two different types of heavy vehicles: a tour bus and a truck, using a selection of different velocities and scenarios. The results show that by using the Hactive anti-roll bar control system, in comparison to the passive anti roll bar system, roll stability is improved to minimise the risk of vehicle rollover.

Original languageEnglish
Pages (from-to)255-260
Number of pages6
Issue number5
Publication statusPublished - Jan 1 2019
Event9th IFAC Symposium on Advances in Automotive Control, AAC 2019 - Orléans, France
Duration: Jun 23 2019Jun 27 2019



  • Active anti-roll bar control
  • H control
  • Rollover
  • TruckSim
  • Vehicle dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering

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