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초록
Vehicle states estimation is one of key points in real-time control for autonomous vehicle. Although there are many solutions to estimate vehicle states, some problems still exist in Luenberger observer and linear quadratic observer respectively. This paper proposes a sliding mode observer for vehicle states estimation. The method is developed to make observer irrespective of any uncertain matched noises. Then, the proposed observer could give robust performance for such matched noises. The proposed method is validated via MATLAB/Simulink.
키워드
Autonomous vehicle; Sliding mode observer; Autonomous Vehicles; Keypoints; Linear quadratic; Luenberger observers; Robust performance; Sliding mode observers; Vehicle state; Real time control; Sliding mode control; Vehicles; Estimation
- 제목
- Sliding mode observer for vehicle states estimation
- 저자
- Kang, Chang Mook; Kim, Bo-Ah; Lee, Seung-Hi; Chung, Chung Choo
- 발행일
- 2014-01
- 유형
- Conference Paper
- 저널명
- International Conference on Control, Automation and Systems
- 페이지
- 747 ~ 750