메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Gi-Tae Kim (Korea Polytechnic University) Myung-Jin Chung (Korea Polytechnic University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2021
발행연도
2021.10
수록면
2,250 - 2,253 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Recently, with the development of batteries and location recognition technology, the field of application of mobile robots that can move is expanding. Most mobile robots use four wheels to implement a movement function, so they are strong in straight-line driving, but have limitations in direction change and rotation in a fixed place. On the other hand, the ball robot using a ball as a wheel has a structure with one point of contact with the ground, so it has the advantage of being free to change direction in a narrow space compared to the existing mobile robot based on four wheels. Due to its structurally unstable characteristics, posture control is required in addition to driving control. In this study, a control method was proposed to improve the control performance in the driving control of the ball robot. A PID controller for posture control and a PID controller for driving control for a ball robot, which is composed of a bowling ball, motor, omni wheel, acceleration sensor, battery, control board, and body, were designed. For posture control, information from angle and acceleration sensors was used, and for driving control, image processing information was used. Through the test of driving control performance, it was confirmed that the control performance of ball robot was improved by adding the body tilt angle in the moving direction and the reference moving distance to the existing PID control gain as the control input conditions.

목차

Abstract
1. INTRODUCTION
2. CONFIGURATION
3. CONTROL METHOD
4. DATA AQUISITION
5. EXPERIMENTS AND RESULTS
6. CONCLUSIONS
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0