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초록
Recently, many researches on active roll control to improve ride and handling have been conducted. The active roll stabilizer(ARS) system is commonly used instead of passive stabilizer bars to obtain improved vehicle ride and handling. ARS system requires roll states(roll angle and roll rate) to determine control inputs. In this paper, the roll states estimation method is proposed by using Kalman filter and roll dynamics including vertical dynamics model. The vertical acceleration sensors are used to correct the estimated states. The proposed roll states estimation method will be verified by simulation with MATLAB/Simulink and CarSim software.
키워드
Roll state(롤 상태); Estimation(추정); Active roll stabilizer(능동적 롤 안정 장치); Vehicle dynamics(차량 동역학); Kalman filter(칼만 필터)
- 제목
- 휠의 수직가속도를 활용한 차량의 롤 정보 추정 기법
- 제목 (타언어)
- Vehicle Roll State Estimation Method Using Vertical Acceleration Sensors on Wheels
- 저자
- 이재환; 양정근; 신경식; 김창섭; 김병주; 이민수; 성현; 허건수
- 발행일
- 2016-05
- 유형
- Proceeding
- 저널명
- 2016 한국자동차공학회 춘계학술대회
- 페이지
- 295 ~ 297