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퍼지 방위각 추정기를 이용한 세 개의 전 방향 바퀴 구조의 이동로봇시스템의 개발Tracking Control of 3-Wheels Omni-Directional Mobile Robot Using Fuzzy Azimuth Estimator

Other Titles
Tracking Control of 3-Wheels Omni-Directional Mobile Robot Using Fuzzy Azimuth Estimator
Authors
김상대김승우
Issue Date
2010
Publisher
한국산학기술학회
Keywords
Omni-Directional Mobile Robot; Holonomic System; Azimuth; Fuzzy Inference; Gyro-Sensor
Citation
한국산학기술학회논문지, v.11, no.10, pp.3873 - 3879
Journal Title
한국산학기술학회논문지
Volume
11
Number
10
Start Page
3873
End Page
3879
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/18260
ISSN
1975-4701
Abstract
Home service robot are not working in the fixed task such as industrial robot, because they are together with human in the same indoor space, but have to do in much more flexible and various environments. Most of them are developed on the base of the wheel-base mobile robot in the same method as a vehicle robot for factory automation. In these days, for holonomic system characteristics, omni-directional wheels are used in the mobile robot. A holonomicrobot, using omni-directional wheels, is capable of driving in any direction. But trajectory control for omni-directional mobile robot is not easy. Especially, azimuth control which sensor uncertainty problem is included is much more difficult. This paper develops trajectory controller of 3-wheels omni-directional mobile robot using fuzzy azimuth estimator. A trajectory controller for an omni-directional mobile robot, which each motor is controlled by an individual PID law to follow the speed command from inverse kinematics, needs a precise sensing data of its azimuth and exact estimation of reference azimuth value. It has imprecision and uncertainty inherent to perception sensors for azimuth. In this paper, they are solved by using fuzzy logic inference which can be used straightforward to perform the control of the mobile robot by means of the fuzzy behavior-based scheme already existent in literature. Finally, the good performance of the developed mobile robot is confirmed through live tests of path control task.
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