Parallel Design Optimization of Articulated Heavy Vehicles with Active Safety Systems
Paper in proceeding, 2013

This paper presents a parallel design optimization method for multi-trailer articulated heavy vehicles (MTAHVs) with active safety systems (ASSs). It is a challenge to deal with the trade-off between high-speed stability and low-speed maneuverability. Evolutionary algorithms have been used for the design optimization of MTAHVs, but the computation efficiency is low. To address the problem, a parallel computing technique with a master–slave system is proposed. Active trailer steering, differential braking and anti-roll sub-systems are combined in an integrated ASS. Considering the interactions of Driver-Vehicle-ASS, the method simultaneously searches optimal active and passive variables of the ASS controllers, the driver model, and the trailers using a master–slave computing system. Simulation results indicate that the proposed method provides an effective approach to the design synthesis of MTAHVs with ASSs.

Multi-trailer articulated heavy vehicles

Closed-loop dynamic simulation

Parallel computing

Design optimization

Active safety systems


Manjurul Islam

Steve Mikaric

Yuping He

Thomas Hu

Lecture Notes in Electrical Engineering

1876-1100 (ISSN)

Vol. 196 1563-1575
978-3-642-33737-6 (ISBN)

Subject Categories

Mechanical Engineering

Vehicle Engineering

Areas of Advance






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