本文選題：駕駛員-汽車閉環(huán)系統(tǒng) + 側翻穩(wěn)定性��； 參考：《南京航空航天大學》2016年碩士論文

【摘要】：駕駛員是引起汽車側翻事故的重要因素之一,現(xiàn)有的汽車側翻研究大都忽略了駕駛員在人-車閉環(huán)系統(tǒng)的動態(tài)影響。當汽車出現(xiàn)側翻情況時,駕駛員會做出相應的反應和決策,并執(zhí)行相關的操作,駕駛員的響應往往會與車輛主動防側翻系統(tǒng)有互相的影響,因此在研究汽車側翻穩(wěn)定性和控制研究時考慮駕駛員因素會更接近汽車側翻的現(xiàn)實情況,得到符合實際的規(guī)律和策略。首先,建立了駕駛員-汽車閉環(huán)系統(tǒng)模型,包括車輛模型、駕駛員道路跟蹤預瞄模型、及駕駛員側傾反應模型。應用汽車動力學理論建立了三自由度汽車開環(huán)系統(tǒng)模型,并運用Carsim軟件進行驗證;然后在分析駕駛員生理特性和駕駛員對汽車側傾狀況反應的基礎上建立了具有防側翻屬性的駕駛員模型;融合駕駛員模型及汽車開環(huán)模型建立駕駛員-汽車閉環(huán)系統(tǒng)模型,在典型的側翻路況下進行仿真,驗證了所建模型的正確性和合理性。其次,分析了汽車自身結構參數(shù)、汽車行駛參數(shù)以及駕駛員行為特性對汽車側翻穩(wěn)定性的影響規(guī)律。選用橫向轉移率和動態(tài)側翻指標作為汽車側翻指標,分析了汽車重心高度、汽車輪距以及汽車側傾剛度等結構參數(shù)對汽車側翻穩(wěn)定性影響規(guī)律;分析了汽車車速、汽車轉向角等行駛參數(shù)對汽車側翻穩(wěn)定性影響規(guī)律;重點分析了駕駛員重要參數(shù)對駕駛員-汽車閉環(huán)系統(tǒng)側翻穩(wěn)定性的影響,包括駕駛員側翻反應增益系數(shù)、駕駛員思考時間、以及駕駛員側傾反應門檻值等,為提高汽車防側翻能力提供了理論依據(jù)。最后,針對一些駕駛員難以防止的汽車側翻工況,設計了汽車防側翻主動控制策略。以駕駛員-汽車閉環(huán)系統(tǒng)為對象,分別基于汽車主動轉向和差動制動設計了PID控制器和模糊自適應PID控制器,選取大回轉路況和雙移線路況仿真實驗得到各種控制器的控制效果并進行對比,結果表明基于差動制動的模糊PID控制策略能有效提高汽車的防側翻能力,具有很強的工況適應性。
[Abstract]:Driver is one of the important factors that cause the vehicle rollover accident. Most of the existing research on vehicle rollover neglects the driver's dynamic influence in the man-vehicle closed loop system. When the car appears rollover, the driver will make the corresponding reaction and decision, and perform the related operation, the driver's response will often have the mutual influence with the vehicle active anti-roll system. Therefore, in the study of vehicle rollover stability and control, considering driver factors will be closer to the actual situation of vehicle rollover, and get the actual law and strategy. Firstly, the driver-vehicle closed-loop system model is established, including the vehicle model, the driver road tracking preview model, and the driver roll response model. Based on the theory of automobile dynamics, the open loop system model of three degrees of freedom vehicle is established and verified by Carsim software. Then, based on the analysis of driver's physiological characteristics and driver's reaction to vehicle roll condition, the driver model with anti-rollover property is established, and the driver-vehicle closed-loop system model is established by combining driver model with vehicle open-loop model. The simulation results show that the model is correct and reasonable. Secondly, the influence of vehicle structure parameters, driving parameters and driver behavior on the rollover stability is analyzed. The lateral transfer rate and dynamic rollover index are selected as the vehicle rollover indexes. The influence of the structural parameters such as the height of the center of gravity, the wheel distance and the roll stiffness of the vehicle on the stability of the vehicle is analyzed, and the speed of the vehicle is analyzed. The influence of driving parameters such as steering angle on the rollover stability of the vehicle is analyzed, and the influence of important driver parameters on the rollover stability of the driver-vehicle closed-loop system is analyzed, including the gain coefficient of the driver's rollover reaction, the driver's thinking time. The threshold value of driver's roll reaction provides a theoretical basis for improving the ability of vehicle roll prevention. Finally, the active control strategy of anti-rollover is designed for some vehicle rollers which are difficult to prevent. PID controller and fuzzy adaptive PID controller are designed based on active steering and differential braking for driver-vehicle closed-loop system. The control effects of various controllers are obtained by using the simulation experiments of large slewing road conditions and double-moving road conditions. The results show that the fuzzy PID control strategy based on differential braking can effectively improve the anti-rollover capability of the vehicle. It has strong adaptability to operating conditions.
【學位授予單位】：南京航空航天大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：U461.6

【參考文獻】

相關期刊論文 前10條

1 徐中明;于海興;賀巖松;張志飛;;SUV車輛差動制動防側翻控制研究[J];汽車工程;2014年05期

2 金智林;張甲樂;馬翠貞;;基于動態(tài)預警的汽車防側翻魯棒控制[J];南京航空航天大學學報;2013年06期

3 陳一鍇;何杰;張衛(wèi)華;石琴;陳無畏;;模糊PID主動懸架對重型貨車側翻穩(wěn)定性的改善研究[J];中國機械工程;2012年21期

4 朱天軍;宗長富;李飛;楊勇;;基于線性矩陣不等式的重型車輛防側翻魯棒控制算法研究[J];汽車工程;2012年05期

5 張向文;王飛躍;高彥臣;;輪胎穩(wěn)態(tài)模型的分析綜述[J];汽車技術;2012年02期

6 黃杰燕;劉坤;熊毅;;車輛側翻警示及控制系統(tǒng)的現(xiàn)狀研究[J];輕型汽車技術;2011年Z1期

7 李都厚;劉群;袁偉;劉浩學;;疲勞駕駛與交通事故關系[J];交通運輸工程學報;2010年02期

8 朱天軍;鄭紅艷;侯紅娟;;基于Matlab的半掛汽車列車側傾穩(wěn)定性分析[J];汽車技術;2008年11期

9 金智林;翁建生;胡海巖;;基于模糊差動制動的運動型多功能汽車防側翻控制[J];汽車技術;2008年01期

10 金智林;翁建生;胡海巖;;汽車側翻及穩(wěn)定性分析[J];機械科學與技術;2007年03期

相關博士學位論文 前1條

1 褚端峰;客車行駛穩(wěn)定性控制的關鍵技術研究[D];武漢理工大學;2010年

相關碩士學位論文 前2條

1 柳帥;混合動力客車防側翻控制算法研究[D];吉林大學;2011年

2 于增亮;基于仿真環(huán)境駕駛員臨界反應能力的研究[D];吉林大學;2005年

，

本文編號：1887465