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Fuzzy logic controller based Genetic algorithm for semi-active suspension

机译:基于模糊逻辑控制器的半主动悬架遗传算法

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摘要

This study proposed a novel control scheme for multi-body semi-active suspension system (SASS), composed of a multi-body model of SASS and a fuzzy logic controller based genetic algorithm (FLC-GA). ADAMS software was utilized to complete multi-body model of a full car SASS. Simulations with random road profile at two different speeds (25 m/s & 35 m/s) demonstrated that developed FLC-GA enhances performance of full car suspension system significantly and was more effective than passive suspension response.
机译:本研究提出了一种多体半主动悬架系统(SASS)的新型控制方案,该方案由SASS的多体模型和基于遗传算法的模糊逻辑控制器(FLC-GA)组成。 ADAMS软件被用来完成整个汽车SASS的多体模型。在两种不同速度(25 m / s和35 m / s)下的随机路面状况模拟表明,开发的FLC-GA可显着提高全车悬架系统的性能,并且比被动悬架响应更有效。

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