汽车工程
汽車工程
기차공정
AUTOMOTIVE ENGINEERING
2015年
8期
946-950
,共5页
党建民%陈慧%赵祥磊%楼黎明%中野史郎
黨建民%陳慧%趙祥磊%樓黎明%中野史郎
당건민%진혜%조상뢰%루려명%중야사랑
中间位置转向%主观评价%客观评价%相关性%多元线性回归
中間位置轉嚮%主觀評價%客觀評價%相關性%多元線性迴歸
중간위치전향%주관평개%객관평개%상관성%다원선성회귀
on-center steering%subjective evaluation%objective evaluation%correlations%multivariate linear regression
本文中对中间位置转向力特性主客观评价的相关性进行了研究。首先基于线控转向系统,针对中间位置转向建立了一个参数可调的转向力特性模型,运用均匀试验设计方法分析了12种不同的中间位置转向力特性。评价人员在驾驶模拟器上对这12种不同转向力特性进行了主观评价。同时,通过离线仿真,按照ISO中间位置操纵特性试验方法对这12组力特性进行了客观评价试验。然后应用多元线性回归方法分析主观评价项目与客观评价指标之间的相关性。结果表明,应用建立的相关性对主观评分进行预测的平均相对误差小于4%。最后,基于所建立的多元线性回归模型求取了关键客观评价指标的理想值。该方法可有效地指导转向系统的开发。
本文中對中間位置轉嚮力特性主客觀評價的相關性進行瞭研究。首先基于線控轉嚮繫統,針對中間位置轉嚮建立瞭一箇參數可調的轉嚮力特性模型,運用均勻試驗設計方法分析瞭12種不同的中間位置轉嚮力特性。評價人員在駕駛模擬器上對這12種不同轉嚮力特性進行瞭主觀評價。同時,通過離線倣真,按照ISO中間位置操縱特性試驗方法對這12組力特性進行瞭客觀評價試驗。然後應用多元線性迴歸方法分析主觀評價項目與客觀評價指標之間的相關性。結果錶明,應用建立的相關性對主觀評分進行預測的平均相對誤差小于4%。最後,基于所建立的多元線性迴歸模型求取瞭關鍵客觀評價指標的理想值。該方法可有效地指導轉嚮繫統的開髮。
본문중대중간위치전향력특성주객관평개적상관성진행료연구。수선기우선공전향계통,침대중간위치전향건립료일개삼수가조적전향력특성모형,운용균균시험설계방법분석료12충불동적중간위치전향력특성。평개인원재가사모의기상대저12충불동전향력특성진행료주관평개。동시,통과리선방진,안조ISO중간위치조종특성시험방법대저12조력특성진행료객관평개시험。연후응용다원선성회귀방법분석주관평개항목여객관평개지표지간적상관성。결과표명,응용건립적상관성대주관평분진행예측적평균상대오차소우4%。최후,기우소건립적다원선성회귀모형구취료관건객관평개지표적이상치。해방법가유효지지도전향계통적개발。
The correlations between subjective and objective evaluations of on-center steering force charac-teristics are studied in this paper. Firstly based on steering by wire system, a steering force characteristics model with adjustable parameters is built for on-center steering, and with uniform experimental design technique, 12 differ-ent on-center steering force characteristics are analyzed, then on which a subjective evaluation is performed by eval-uators on driving simulator. Meanwhile, an objective evaluation is also carried out by off-line simulation according to the relevant international standards of ISO. Then the correlation between subjective evaluation items and objective e-valuation indicators is analyzed by applying multivariate linear regression method. The results show that the average relative error of subjective ratings predicted by the correlation established is less than 4%. Finally, the ideal values of key objective indicators are obtained based on the multivariate linear regression model built. The method proposed provides an effective guide to the development of steering system.