首页> 外文期刊>Applied Mathematical Modelling >Optimisation of road vehicle passive suspension systems. Part 1. Optimisation algorithm and vehicle model
【24h】

Optimisation of road vehicle passive suspension systems. Part 1. Optimisation algorithm and vehicle model

机译:道路车辆被动悬架系统的优化。第1部分。优化算法和车辆模型

获取原文
获取原文并翻译 | 示例

摘要

Numerous problems have in the past been experienced during the development of military vehicle suspension systems. In order to solve some of these problems a two-dimensional multi-body vehicle dynamics simulation model has been developed for computer implementation. This model is linked to a mathematical optimisation algorithm in order to enable the optimisation of vehicle design parameters through the minimisation of a well defined objective function. In part 1 of this paper the concept of multi-disciplinary design optimisation is discussed. This is followed by the presentation of the up to six degrees of freedom vehicle model developed for this study, and a discussion of the specific gradient-based optimisation algorithm selected for the optimisation. In particular the derivation of the set of second-order differential equations, describing the acceleration of the different solid bodies of the vehicle model, is presented. In order to perform the optimisation of the non-linear suspension component characteristics, a six piece-wise continuous and linear approximation is used which is also described in this paper. Part 2 of this study will outline the simulation programme and the qualification of the programme. It will also present a typical case study where the proposed optimisation methodology is applied to improve the damper characteristics of a specific vehicle. .
机译:过去,在军事车辆悬架系统的开发过程中遇到了许多问题。为了解决这些问题中的一些,已经开发了二维多体车辆动力学仿真模型以用于计算机实现。该模型链接到数学优化算法,以便通过最小化定义明确的目标函数来优化车辆设计参数。在本文的第1部分中,讨论了多学科设计优化的概念。接下来是为该研究开发的多达六个自由度的车辆模型的介绍,并讨论了为优化选择的基于特定梯度的优化算法。特别地,给出了描述车辆模型的不同实体的加速度的二阶微分方程组的推导。为了进行非线性悬架部件特性的优化,使用了六段式连续线性近似,本文对此也进行了描述。本研究的第2部分将概述模拟程序和程序的资格。它还将提供一个典型的案例研究,其中所提出的优化方法可用于改善特定车辆的减震器特性。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号