动态系统模型验证的多元响应分析

上海交通大学学报（自然版） ›› 2015, Vol. 49 ›› Issue (02): 191-195.

• 自动化技术、计算机技术 • 上一篇下一篇

动态系统模型验证的多元响应分析

郑凯1，胡洁1，詹振飞2，戚进1，彭颖红1

(1. 上海交通大学机械与动力工程学院，上海 200240；2. 重庆大学机械工程学院，重庆 400044)

收稿日期:2014-05-13 出版日期:2015-02-28 发布日期:2015-02-28
基金资助:
国家自然科学基金(51475288, 51275293)，上海科委基础研究重点项目(11JC1406100,13111102800)，美国福特汽车研究院URP(University Research Program)资助

Multivariate Responses Analysis for Model Validation of Dynamic Systems

ZHENG Kai1，HU Jie1，ZHAN Zhenfei2，QI Jin1，PENG Yinghong1

(1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China;2. College of Mechanical Engineering, Chongqing University, Chongqing 400044, China)

Received:2014-05-13 Online:2015-02-28 Published:2015-02-28

摘要/Abstract

摘要：

摘要：针对模型验证中多元动态响应分析问题，提出了基于改进的响应误差评估(Enhanced Error Assessment of Response Time Histories, EEARTH)方法与层次分析(Analytic Hierarchy Process, AHP)法的多元响应分析方法.采用EEARTH方法并结合动态时间规整，分析了物理试验与仿真数据动态时间响应曲线上重要特征的差异，并转化为统一的0～100%的EEARTH评分.采用AHP并利用领域专家知识以确定3个EEARTH评分的重要程度，以及各响应量对最终AHPEEARTH评分的影响权重，从而获得多元动态系统模型验证的整体评分.对某车型的驾驶员乘员侧约束系统的实例研究表明，该方法能有效实现复杂多元动态系统的模型验证.

关键词: 多元响应分析, 模型验证, 改进的响应误差评估方法, 层次分析法

Abstract:

Abstract： In order to analyze the multiple dynamic responses for model validation of multiple dynamic systems, this paper proposed the analysis method based on the enhanced error assessment of response time histories (EEARTH) and the analytic hierarchy process (AHP). The EEARTH method was used to calculate the characteristic errors of the multivariate dynamic time series. The errors had to be translated into scores between 0 and 100% because they had different value ranges. The AHP method was performed to determine the weights of the three EEARTH scores and the weight of each response on the overall AHPEEARTH score according to the knowledge of experts. Moreover, the AHPEEARTH score of a multiple dynamic system was computed. Furthermore, a driver side occupant restraint system mathematical dynamic model (MADYMO) model was used to demonstrate the validity of the proposed method for model validation of multivariate dynamic systems.
Key words：

Key words: multivariate responses analysis, model validation, enhanced error assessment of response time histories

中图分类号:

TP 391.9

郑凯1，胡洁1，詹振飞2，戚进1，彭颖红1. 动态系统模型验证的多元响应分析[J]. 上海交通大学学报（自然版）, 2015, 49(02): 191-195.

ZHENG Kai1，HU Jie1，ZHAN Zhenfei2，QI Jin1，PENG Yinghong1. Multivariate Responses Analysis for Model Validation of Dynamic Systems[J]. Journal of Shanghai Jiaotong University, 2015, 49(02): 191-195.

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动态系统模型验证的多元响应分析

Multivariate Responses Analysis for Model Validation of Dynamic Systems

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