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Multi-body co-simulation of semi-active suspension systems

机译:半主动悬架系统的多体协同仿真

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摘要

This paper describes the development and use of a multi-body co-simulation approach for predicting the dynamic response of a vehicle containing magnetorheological (MR) semi-active dampers. The approach is used to investigate the effects of various local and global control strategies on the load histories of suspension components for the purpose of assessing their likely impact on fatigue life. The approach adopted aims to exploit the capability of a multi-body system (MBS) code and a mathematical simulation code, by integrating the MBS vehicle models with selected semi-active damper/controller models. Various MBS vehicle models are developed of increasing complexity using MSC.visualNastran, which are linked to three local, two-state switchable, control algorithms and also two global controllers, each developed in MATLAB/Simulink. The control strategies are implemented within the vehicle model using an MR damper model derived from experimental test data. Road inputs, including both bump/pothole and random road excitation, and the tyre model are also implemented within MATLAB/Simulink. Ultimately, the aim is to develop an approach which would allow concurrent structural optimization and controller optimization to enable lighter and more durable suspension components to be produced.
机译:本文介绍了多体协同仿真方法的开发和使用,以预测包含磁流变(MR)半主动阻尼器的车辆的动态响应。该方法用于调查各种局部和全局控制策略对悬架部件的载荷历史的影响,以评估其对疲劳寿命的可能影响。通过将MBS车辆模型与选定的半主动减震器/控制器模型集成在一起,采用的方法旨在开发多体系统(MBS)代码和数学仿真代码的功能。使用MSC.visualNastran开发了越来越复杂的各种MBS车辆模型,这些模型链接到三个本地,两状态可切换控制算法以及两个全局控制器,每个均在MATLAB / Simulink中开发。使用从实验测试数据得出的MR阻尼器模型在车辆模型内实施控制策略。道路输入(包括颠簸/坑洼和随机道路激励)以及轮胎模型也在MATLAB / Simulink中实现。最终,目标是开发一种方法,该方法允许同时进行结构优化和控制器优化,以生产更轻​​,更耐用的悬架组件。

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