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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >The design of an active suspension force controller using genetic algorithms with maximum stroke constraints
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The design of an active suspension force controller using genetic algorithms with maximum stroke constraints

机译:具有最大行程约束的遗传算法的主动悬架力控制器设计

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摘要

A novel control scheme is proposed for force control in an active vehicle suspension design using genetic algorithms with a half-car model. The new approach incorporates the constraints of maximum suspension strokes in the objective function to evaluate the compactness of the suspension working space, as opposed to the traditional integral quadratic form of suspension displacement. Genetic algorithms are employed in the design to obtain a more effective search for optimum control parameters. Force cancellation, virtual damper, skyhook damper and road-following concepts are employed in the scheme to achieve a satisfactory performance. Computer simulations are performed to verify the proposed control scheme.
机译:提出了一种新颖的控制方案,该方法使用半车模型的遗传算法在主动车辆悬架设计中进行力控制。新方法在目标函数中纳入了最大悬架冲程的约束,以评估悬架工作空间的紧凑性,这与传统的积分二次形式的悬架位移相反。设计中采用了遗传算法,以更有效地搜索最佳控制参数。该方案采用了力消除,虚拟阻尼器,天钩阻尼器和道路跟随概念,以实现令人满意的性能。执行计算机仿真以验证提出的控制方案。

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