인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
In industrial environments such as large-scale facilities, mobile robots are increasingly being used to automate welding tasks. Because these robots rely on supply cables for power, communication, and welding equipment, cable length must be properly regulated in response to robot motion. Insufficient cable release can cause excessive tension, robot tipping, motor overload, and cable damage, while excessive release can lead to cable entanglement, floor dragging, and path interference. This paper proposes an extended Kalman filter (EKF)-based cable length estimation and safety control method for a tethered mobile welding robot. The EKF estimates the deployed cable length while accounting for encoder bias, load-cell bias, and slip velocity, and compensates for slip-induced length errors using feeder velocity and measured tension. Based on the estimated length, cable slack is calculated and controlled by a proportional-integral (PI) controller combined with a safety layer that considers tension level, tension rate, slack lower bound, and motor peak constraints. Simulations under radial motion, random motion, high-friction ground, and sensor offset conditions show that the proposed method maintains stable slack and prevents excessive tension compared with encoder-based and conventional EKF methods.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.