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Compensation Control Method Using Neural Network for Mechanical Deflection Error in SCARA Robot with Random Payload
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- 발행기관
- 한국기계항공기술학회(구 한국기계기술학회) 바로가기
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- 간행물
- 한국기계항공기술학회지(구 한국기계기술학회지) KCI 등재후보 바로가기
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- 통권
- 제13권 제3호 (2011.09)바로가기
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- 페이지
- pp.7-16
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A153055
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4,000원
원문정보
초록
- 영어
- This study proposes the compensation method for the mechanical deflection error of a SCARA robot.
While most studies on the related subject have dealt with the development of a control algorithm for improvement of robot accuracy, this study presents the control method reflecting the mechanical deflection error which is predicted in advance. The deflection at the end of the gripper of SCARA robot is caused by the self-weights and payloads of Arm 1, Arm 2 and quill. If the deflection is constant even though robot’ posture and payload vary, there may not be a big problem on robot accuracy because repetitive accuracy, that is relative accuracy, is more important than absolute accuracy in robot. The deflection in the end of the gripper varies as robot’ posture and payload change. That’ why the moments , and working on every joint of a robot vary with robot’ posture and payload size. This study suggests the compensation method which predicts the deflection in advance with the variations in robot’ posture and payload using neural network. To do this, I chose the posture of robot and the payloads at random, found the deflections by the FEM analysis, and then on the basis of this data, made compensation possible by predicting deflections in advance successively with the variations in robot’ posture and payload through neural network learning.
목차
Abstract
1. Introduction
2. MODELING AND ANALYSIS
2.1 Modeling and Geometrical Parameters
2.2 Extraction of Analytical Data
3. Neural Network Learning
3.1 Structure of Neural Network
3.2. Neural Network Learning
4. Simulation Using Computer
4.1 Deflection According to Changes in Robot’s Posture and Payload part
4.2 Simulation for Random Path
4.3 Results Analysis
5. Conclusions
References
키워드
SCARA robot mechanical deflection compensation control neural network random payload저자
간행물 정보
발행기관
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- 발행기관명
- 한국기계항공기술학회(구 한국기계기술학회) [Korean Society of Mechanical Technology]
- 설립연도
- 1999
- 분야
- 공학>기계공학
- 소개
- 기계 관련 산업 분야에 관한 학술과 현장 적용 기술을 연구하고 교류하며, 이에 관련된 학문과 기술 발전 및 보급에 기여함으로써 과학과 기술의 진흥에 이바지함을 그 목적으로 한다.
간행물
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- 간행물명
- 한국기계항공기술학회지(구 한국기계기술학회지) [Journal of the Korean Society of Mechanical and Aviation Technology ]
- 간기
- 격월간
- pISSN
- 1229-604X
- eISSN
- 2508-3805
- 수록기간
- 1999~2026
- 등재여부
- KCI 등재
- 십진분류
- KDC 550 DDC 620
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