Observer Based Estimation of Tire-Road Friction for Collision Warning Algorithm Adaptation
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概要
- 論文の詳細を見る
In this paper a real-time estimation method is presented for identifying the tireroad friction coefficient.Taking advantage of the Magic Formula Tire Model, the similarity technique and the specific model for the vehicle dynamics, a reduced order observer / filtered-regressor-based method is proposed.The proposed method is evaluated on simulations of a full-vehicle model with an eight state nonlinear vehicle / transmission simulation model and a nonlinear suspension model.It has been shown through simulations that it is possible to estimate the tire-road friction from measurements of engine rpm, transmission output speed and wheel speeds using the proposed identification method.It would be useful to incorporate the tire-road friction information into a vehicle collision warning algorithm.The proposed method can be used as a useful option as a part of vehicle collision warning / avoidance systems and will be useful in the implementation and adaptation of the warning algorithm since the tireroad friction can be estimated only using RPM sensors.
- 一般社団法人日本機械学会の論文
- 1998-03-15
著者
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Yi Kyongsu
School Of Mechanical And Aerospace Engineering Seoul National University
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Kyongsu Yi
School Of Mechanical Engineering Hanyang University
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Taeyoung JEONG
School of Mechanical Engineering, Hanyang University
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Taeyoung Jeong
School Of Mechanical Engineering Hanyang University
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Jeong Taeyoung
School of Mechanical Engineering, Hanyang University
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