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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.22 No.1
- 발행연도
- 2022.3
- 수록면
- 69 - 77 (9page)
- DOI
- 10.5391/IJFIS.2022.22.1.69
이용수
초록· 키워드
오류제보하기
This paper presents the trajectory-tracking control of transport robots for smart logistics using a fuzzy controller. We propose a new method of designing tracking control using the speed regulator based on an interval type-2 fuzzy logic system for automated transport robots, to track the complex predefined trajectory paths. The proposed controller with a speed regulator can help the robot to slow down on curved paths and increase its speed on straight tracks. In this study, the simulation results show that the proposed method has better performance and higher reliability than the type-1 fuzzy control.
목차
Abstract
1. Introduction
2. Model of Transport Robot
3. Trajectory-Tracking Control
4. Trajectory-Tracking Control with Speed Regulator
5. Simulation, Results, and Discussion
6. Conclusion
References
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