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논문 기본 정보

자료유형
학술저널
저자정보
Kwangseok Oh (Hankyong National University) Kyong Su Yi (Seoul National University) Jaho Seo (University of Ontario Institute of Technology) Yongrae Kim (Korea Institute of Machinery & Material) Geunho Lee (Korea Institute of Machinery & Material)
저널정보
유공압건설기계학회 드라이브·컨트롤 드라이브·컨트롤 Vol.14 No.3
발행연도
2017.9
수록면
40 - 49 (10page)

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초록· 키워드

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This study presents an online estimation of an excavator’s rotational inertia by using recursive least square with forgetting. It is difficult to measure rotational inertia in real systems. Against this background, online estimation of rotational inertia is essential for improving safety and automation of construction equipment such as excavators because changes in inertial parameter impact dynamic characteristics. Regarding an excavator, rotational inertia for swing motion may change significantly according to working posture and digging conditions. Hence, rotational inertia estimation by predicting swing motion is critical for enhancing working safety and automation. Swing velocity and damping coefficient were used for rotational inertia estimation in this study. Updating rules are proposed for enhancing convergence performance by using the damping coefficient and forgetting factors. The proposed estimation algorithm uses three forgetting factors to estimate time-varying rotational inertia, damping coefficient, and torque with different variation rates. Rotational inertia in a typical working scenario was considered for reasonable performance evaluation. Three simulations were conducted by considering several digging conditions. Presented estimation results reveal the proposed estimation scheme is effective for estimating varying rotational inertia of the excavator.

목차

Abstract
1. Introduction
2. Investigation of Variations inRotational Inertia
3. Rotational Inertia Estimation
4. Performance Evaluation
5. Conclusion
References

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