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.
Parallel Design Optimization of Articulated Heavy Vehicles with Active Safety Systems
Lect. Notes Electrical Eng.
2012-11-23
13 pages
Article/Chapter (Book)
Electronic Resource
English
Parallel Design Optimization of Articulated Heavy Vehicles with Active Safety Systems
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