Fuzzy approach for real time longitudinal velocity estimation of a road vehicle in critical situation
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 9624757
- Paper/Info type
- AVEC
- Pages
- 1393-1400(Total 8 p)
- Date of publication
- Jun 1996
- Publisher
- Others, Unknown
- Language
- English
- Event
- AVEC '96
Detailed Information
| Author(E) | 1) C.Zimmer, 2) M.Basset, 3) G.L.Gissinger |
|---|---|
| Affiliation(E) | 1) Laboratoire MIAM ESSAIM Universite de Haute Alsace, 2) Laboratoire MIAM ESSAIM Universite de Haute Alsace, 3) Laboratoire MIAM ESSAIM Universite de Haute Alsace |
| Abstract(J) | 車両の安定性制御に必要な急操だ,急制動時等,車両の限界に近い状態での前後方向速度をリアルタイムに予測する手法に,ファジー理論を適用した.この手法では,限界状態での車両の挙動を把握し,状況に応じた車速の予測が可能となり,従来の後輪車速を平均する方法に比べ,後輪ロック時などでも,良い結果が得られることが分った. Translation |
| Abstract(E) | This paper presents a concept of fuzzy estimation for the variables of complex, fast and closed-loop systems. It has been used to develop an original real time longitudinal velocity estimator for road vehicles, that covers highly critical driving situations and avoids the use of expensive optical cross-correlation sensors. The aim of this application is to provide traction and braking control systems, or vehicle monitoring processes with a reliable value of the longitudinal velocity. Fuzzy logic has been used to build aggregate indicators with the measured variables, in order to identify and detect the different ways a vehicle behaves. Then, a fuzzy expert system with rules based on these indicators decides which values should be used among these which are likely to estimate the longitudinal velocity. A production vehicle has been used to validate the implementation of the estimation algorithm. |
