자율주행 시스템 검증 시나리오를 위한 Reference Governor 기반의 차량 추종 모델 개발

Development of a Car-Following Model Based on Reference Governor for Autonomous Driving System Verification Scenario
Citations

SCOPUS

1

초록

This paper represents a reference governor-based, car-following model for an autonomous driving system verification scenario. A reference governor(RG) is an add-on control scheme that enforces state and control constraints on stabilized systems by modifying the reference whenever the constraints are violated. Unlike existing controllers that do not handle states and input constraints, the proposed method handles constraints by using a maximal invariant that is set to consider actuator limits, ride quality, and vehicle safety with low computational effort. The proposed method was validated with simulation under various driving scenarios, such as acceleration, deceleration, and driving cycles. The RG-based, car-following model showed efficient computational performance while satisfying the defined constraints, and was able to simulate actual traffic flow.

키워드

자율주행 시스템적응형 순항 제어차량 추종 모델기준 입력 조정기모델예측제어강건 최대 불변 집합Autonomous driving systemAdaptive cruise controlCar-following modelReference governorModel predictive controlRobust maximal invariant set
제목
자율주행 시스템 검증 시나리오를 위한 Reference Governor 기반의 차량 추종 모델 개발
제목 (타언어)
Development of a Car-Following Model Based on Reference Governor for Autonomous Driving System Verification Scenario
저자
문일경조건희이형철
DOI
10.7467/KSAE.2023.31.2.107
발행일
2023-02
저널명
한국자동차공학회 논문집
31
2
페이지
107 ~ 115

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