Session Track
November 02 (Thursday)
동역학 및 제어부문 포스터
Poster,
3층 로비,
13:00~13:50
- 손정현(부경대), 안형준(숭실대), 임성진(서울과기대), 김건우(생기연)
Th16A-29
13:00~13:50
인공지능망을 이용한 스튜어트 플랫폼의 순기구학 연산속도 향상
This paper proposes a method to improved computation speed of forward kinematics solution of Stewart platform using neural network. Solution of the inverse kinematics is easily found by the vectors of the links which is composed of the joint coordinates in base and plate frame, but forward kinematic is not easily solved because of the nonlinearity and complexity of the Stewart platform. Actually we can get the solution of forward kinematics by solving nonlinear simultaneous equation by Newton-Raphson, but this method is too slow computation speed. Because this method has some problem about setting initial condition. Hence we suggest a method to increase the computation speed by setting the initial condition of Newton-Raphson with neural network.
Keywords : Stewart platform(스튜어트 플랫폼), Forward kinematics(순기구학), Neural network(신경망)
Paper : Th16A-29.pdf
(사)대한기계학회, 서울시 강남구 테헤란로 7길 22 한국과학기술회관 신관 702호, Tel: (02)501-3646~3648, E-mail: ksme@ksme.or.kr