In:
Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 775 ( 2015-7), p. 347-351
Abstract:
The pareto optimal controller design on a two-track vehicle dynamic model with 8-degrees of freedom considering two simultaneous conflicting objective functions has been made in order to prevent the rollover phenomena. In this regard, the requisiteness of trading off among the conflicting requirements of vehicle dynamic control results in utilizing multi-objective optimization techniques. More effectively, a multi-objective uniform-diversity genetic algorithm (MUGA) with a diversity preserving mechanism known as the ε -elimination algorithm has been used to optimize multi input multi output (MIMO) sliding mode controller. The most important conflicting objective functions that have been considered for minimization in this study are, control effort and vehicle roll angle, correspondingly. Finally, The comparison of the obtained results with those in the literature demonstrates that the strategy employed cause remarkable improvement in rollover prevention and maneuverability.
Type of Medium:
Online Resource
ISSN:
1662-7482
DOI:
10.4028/www.scientific.net/AMM.775
DOI:
10.4028/www.scientific.net/AMM.775.347
Language:
Unknown
Publisher:
Trans Tech Publications, Ltd.
Publication Date:
2015
detail.hit.zdb_id:
2251882-4
Permalink