跳到主要內容

臺灣博碩士論文加值系統

(44.201.94.236) 您好!臺灣時間:2023/03/24 10:40
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:劉念冀
研究生(外文):Liu, Nien-Chi
論文名稱:車輛輪胎與路面摩擦力之即時估測
論文名稱(外文):Real-Time Estimation of Tire-Road Friction Forces
指導教授:蕭得聖
指導教授(外文):Hsiao, Te-Sheng
學位類別:碩士
校院名稱:國立交通大學
系所名稱:電控工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2010
畢業學年度:99
語文別:中文
論文頁數:109
中文關鍵詞:輪胎路面摩擦力
外文關鍵詞:tire-road friction
相關次數:
  • 被引用被引用:3
  • 點閱點閱:552
  • 評分評分:
  • 下載下載:166
  • 收藏至我的研究室書目清單書目收藏:1
隨著車用電子的技術蓬勃發展,人們對車輛的要求也日益增高,不論是在駕駛的舒適性上,或是在目前所關注的環保節能上,這些條件已經成為一般民眾購車的先決條件。在車輛行駛中往往會遇到各種不同的路面狀況,而路面狀況會直接影響車輛輪胎與地面間的受力,所以可以藉由輪胎與地面間受力情況的不同,判斷目前車輛行駛路面的狀況,也就是說欲得知路面狀況的不同,可以藉由估測車輛輪胎與地面間的摩擦力不同來做判斷,所以本研究發展了一套只需使用容易測量到的車輛動態再搭配車輛的動態模型來估測摩擦力的演算法,實驗中也建構了一模擬車輛輪胎與路面間的實驗平台來驗證摩擦力估測的正確性。
本論文建立了一套摩擦力估測演算法,是利用輪胎的力矩平衡來求得縱向的摩擦力,而側向的摩擦力是使用簡化車輛模型與腳踏車模型互相切換,並引入摩擦力圓的概念來做估測,另外也是用了期望值最大化演算法來估測車輛的不確定參數,然後模擬各種駕駛狀況與路面下摩擦力估測與不確定參數估測的結果;本實驗中也架設了實驗平台,在利用此實驗平台進行的縱向力估測與結果分析。

Due to the advances in modern automotive technologies, requirements for driving comfort and being friendly to the environment are ever demanding. Vehicles run on roads with different surface conditions which make tire-road forces, and in turn the vehicle dynamics vary significantly. This study develops an algorithm that uses measurable signals and simple vehicle dynamic models to estimate tire-road friction forces. Then an experimental platform is established to simulate a tire rolling on a road surface such that the validity of the proposed algorithm can be verified experimentally.
This thesis establishes a friction force estimation algorithm which uses torque balance equations to obtain longitude friction forces. Lateral friction forces are estimated by introducing the concept of friction circles and switching between a simplified four-wheel model and the bicycle model. The uncertain parameters of the vehicle are also estimated on-line by applying the expectation-maximization algorithm. Finally, simulations are conducted under various driving and road conditions to evaluate the performance of parameter and tire-road force estimation. This study also sets up a quarter-car experimental platform to estimate longitudinal forces. Experimental results exhibit a linear relation between the longitudinal tire force and the slip ratio whenever the latter is low.

目錄
中文摘要------------------------------------------------------------------------------------------I
英文摘要-----------------------------------------------------------------------------------------II
目錄----------------------------------------------------------------------------------------------IV
圖目錄-------------------------------------------------------------------------------------------VI
表目錄--------------------------------------------------------------------------------------------X
符號表-------------------------------------------------------------------------------------------XI
第一章 緒論------------------------------------------------------------------------------------1
1.1研究背景-------------------------------------------------------------------------------2
1.2研究目的-------------------------------------------------------------------------------2
1.3研究貢獻-------------------------------------------------------------------------------2
1.4論文架構--------------------------------------------------------------------------------3
第二章 相關研究------------------------------------------------------------------------------4
2.1摩擦力估測相關研究-----------------------------------------------------------------4
2.2基於滑動(Slip based)估測方式相關研究-----------------------------------------6
第三章 完整車輛模型----------------------------------------------------------------------14
3.1車輛運動座標系統------------------------------------------------------------------14
3.2集中質量系統------------------------------------------------------------------------15
3.2.1車輛旋轉運動----------------------------------------------------------------16
3.2.2車輛直線運動----------------------------------------------------------------19
3.3非集中質量系統---------------------------------------------------------------------20
3.3.1轉向系統----------------------------------------------------------------------20
3.3.2車胎系統----------------------------------------------------------------------21
3.3.3懸吊系統----------------------------------------------------------------------25
第四章 摩擦力估測演算法----------------------------------------------------------------29
4.1摩擦力估測---------------------------------------------------------------------------30
4.1.1縱向力估測-------------------------------------------------------------------30
4.1.2側向力估測-------------------------------------------------------------------31
4.1.3摩擦力圓----------------------------------------------------------------------37
4.2參數估測------------------------------------------------------------------------------43
4.2.1 E-step--------------------------------------------------------------------------45
4.2.2 M-step-------------------------------------------------------------------------48
第五章 模擬分析與探討-------------------------------------------------------------------59
5.1濾波器設計---------------------------------------------------------------------------60
5.2直線前進------------------------------------------------------------------------------62
5.3 J-Turn----------------------------------------------------------------------------------66
5.4 Single Lane Change-----------------------------------------------------------------73
5.5數據分析與探討---------------------------------------------------------------------78
第六章 硬體架設與實驗-------------------------------------------------------------------84
6.1硬體架設與實驗---------------------------------------------------------------------84
6.1.1輪內馬達----------------------------------------------------------------------84
6.1.2模擬地面之橡膠輪胎-------------------------------------------------------85
6.1.3感測器-------------------------------------------------------------------------85
6.1.4 DSP與外部電路-------------------------------------------------------------86
6.1.5完整實驗平台----------------------------------------------------------------88
6.2實驗分析與探討---------------------------------------------------------------------90
6.2.1濾波器設計-------------------------------------------------------------------90
6.2.2轉動慣量估測----------------------------------------------------------------91
6.2.3縱向力估測與分析----------------------------------------------------------93
第七章 結論與未來工作------------------------------------------------------------------101
附錄一------------------------------------------------------------------------------------------103
附錄二------------------------------------------------------------------------------------------105
附錄三------------------------------------------------------------------------------------------106
參考文獻---------------------------------------------------------------------------------------108
參考文獻

[1] J. G. Yi, L. Alvarez, and R. Horowitz, “Adaptive emergency braking control with underestimation of friction coefficient,” Ieee Transactions on Control Systems Technology, vol. 10, no. 3, pp. 381-392, May, 2002.
[2] J. G. Yi, L. Alvarez, C. Claeys et al., “Emergency braking control with an observer-based dynamic tire/road friction model and wheel angular velocity measurement,” Vehicle System Dynamics, vol. 39, no. 2, pp. 81-97, Feb, 2003.
[3] S. Muller, M. Uchanski, and K. Hedrick, “Estimation of the maximum tire-road friction coefficient,” Journal of Dynamic Systems Measurement and Control-Transactions of the Asme, vol. 125, no. 4, pp. 607-617, Dec, 2003.
[4] Bachmann, Th., ‘‘The Importance of the Integration of Road, Tyre, and Vehicle Technologies,’’ FISITA XXth World Congress, Montreal, Canada, September, 1995
[5] Eichhorn, U., and Roth, J., ‘‘Prediction and Monitoring of Tyre/Road Friction,’’ XXIV FISITA Congress, London, GB, 2:67–74, June 7–11. ‘‘Safety, the Vehicle, and the Road.’’ , 1992
[6] Breuer, B., Bartz, M., Karlheinz, B., Gruber, S., Semsch, M., Strothjohann, Th., and Xie, C., ‘‘The Mechatronic Vehicle Corner of Darmstadt University of Technology-Interaction and Cooperation of a Sensor Tire, New Low-Energy Disc Brake and Smart Wheel Suspension,’’ Proceedings of FISITA 2000, Seoul, Korea, June 12–15 , 2000
[7] Hollingum, J., ‘‘Autonomous Radio Sensor Points to New Applications,’’ Sensor Review, 21~2!, 104–106 , 2001
[8] Breuer, B., Bartz, M., Karlheinz, B., Gruber, S., Semsch, M., Strothjohann, Th., and Xie, C., ‘‘The Mechatronic Vehicle Corner of Darmstadt University of Technology-Interaction and Cooperation of a Sensor Tire, New Low-Energy Disc Brake and Smart Wheel Suspension,’’ Proceedings of FISITA 2000, Seoul, Korea, June 12–15 , 2000
[9] Bakker, E., Pacejka, H. B., and Lidner, L., ‘‘A New Tire Model With an Application in Vehicle Dynamics Studies,’’ SAE Transactions, Journal of Passenger Cars, 98~SAE 890087!, 101–113 , 1989
[10] Burckhardt, M.: Fahrwerktechnik: Radschlupfregelsysteme, Vogel-Verlag, Germany, 1993.
[11] Kiencke, U. and Daiss, A.: Estimation of Tyre Friction for Enhaced ABS-Systems. In: Proceedings of the AVEG’94, 1994.
[12] Burckhardt, M.: ABS und ASR, Sicherheitsrelevantes, Radschlupf-Regel System. Lecture Scriptum. University of Braunschweig, Germany, 1987
[13] Dieckmann, Th, ‘‘Assessment of Road Grip byWay of Measured Wheel Variables,’’ Proceedings of FISITA ’92 Congress, London, GB, 2:75–81, June 7–11. ‘‘Safety the Vehicle and the Road.’’ ., 1992
[14] F. Gustafsson, “Slip-based tire road friction estimation,” Automatica, vol. 33, no. 6, pp. 1087-1099, Jun, 1997
[15] Hwang, W., and Song, B., 2000, ‘‘Road Condition Monitoring System Using Tire-Road Friction Estimation,’’ Proceedings of AVEC 2000, Ann Arbor,Michigan, pp. 437–442, August 22–24.
[16] J. O. Hahn, R. Rajamani, and L. Alexander, “GPS-based real-time identification of tire-road friction coefficient,” Ieee Transactions on Control Systems Technology, vol. 10, no. 3, pp. 331-343, May, 2002.
[17] . L. R. Ray, “Nonlinear tire force estimation and road friction identification: Simulation and experiments,” Automatica, vol. 33, no. 10, pp. 1819-1833, Oct, 1997.
[18] H. Tsunashima, M. Murakami, and J. Miyata, "Vehicle and road state estimation using interacting multiple model approach." pp. 750-758.
[19] L. R. Ray, A. Ramasubramanian, and J. Townsend, “Adaptive friction compensation using extended Kalman-Bucy filter friction estimation,” Control Engineering Practice, vol. 9, no. 2, pp. 169-179, Feb, 2001
[20] G. Baffet, A. Charara, D. Lechner, “Experiment evaluation of sliding mode observer for tire-road forces and an Extended Kalman filter for vehicle sideslip angle,” 46th IEEE Conference on Decision and Control, New Orleans, LA, USA, Dec. 12-14, 2007.
[21] C. Canudas-De-Wit, P. Tsiotras, E. Velenis et al., “Dynamic friction models for road/tire longitudinal interaction,” Vehicle System Dynamics, vol. 39, no. 3, pp. 189-226, Mar, 2003.
[22] J. T. Yi K, “Observer based estimation of tire-road friction for collision warning algorithm adaptation,” 1998.
[23] S. H. Park, J. Kim, J. J. Choi, et al., “Modeling and control of adhesion force in railway rolling stocks,” Control Syatems Magazine, IEEE, vol. 28, no. 5, pp. 44-58, Oct, 2008.
[24] T. K. Moon, “The Expectation-maximization algorithm,” Signal Processing Magazine, IEEE, vol. 13, no. 6, pp. 47-60, Nov, 1996.
[25] R. E. Kalman, “A new approach to linear filtering and prediction problems,” Trasactions of the ASME, vol. 82, pp. 35~45, 1960.

連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top