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Application of μ MOGA in Damping Optimum Design of the Controllable Damper
JIANG Chang-song;LI You-de;LI Jing
2012, 32 (4):
183-187.
DOI: 10.3969/j.issn.1006-1355.2012.04.041
bstract : The μ multi-objective genetic algorithm is used to optimize the damping values of the controllable vibration damper. The damping parameters of the front and rear suspension are selected as the optimization variables, and the MSR values of the body vibration acceleration, the suspension travel movement and the tyres dynamic displacement are selected as the optimization objective. The three-levels damping values of the controllable vibration damper are optimized design by considering the characteristics of the different load, speed and road surface level for the suspension system at the same time. According to the optimization results, the three-levels damping values of the controllable vibration damper are confirmed, i.e. "soft-middle-hard". The suspensions simulation test proved that this algorithm is a kind of high efficiency of the multi-objective global optimization method.
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