Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.11a
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- Pages.61-65
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- 1997
The Comparison and Implementation of Neural Controllers for Robot Manipulator
로봇 매니퓰레이터의 신경 제어기 구현과 신경회로망 비교연구
- Lee, Jae-Won (Electronic Eng., Hosea univ.) ;
- Jang, Choul-Hun (Electronic Eng., Hosea univ.) ;
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Jung, Young-Chang
(Electronic Eng., Hosea univ.) ;
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Hong, Chel-Ho
(Control & instruments Eng., Hosea univ.) ;
- Kim, Jeong-Do (Control & instruments Eng., Sam Chok national univ.)
- 이재원 (호서대학교 전자공학과) ;
- 장철훈 (호서대학교 전자공학과) ;
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정영창
(호서대학교 전자공학과) ;
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홍철호
(호서대학교 제어계측공학과) ;
- 김정도 (삼척산업대학교 제어계측공학과)
- Published : 1997.11.29
Abstract
In control of complex system, like robot manipulators, BP neural network have several drawbacks. To overcome this problems, the modified BP neural networks have proposed To find neural network of proper structure for robot manipulator, in this paper, actual experiments using ADSP-21020 for SCARA robot were implemented and have shown the possibility of real-time control and industrial application, without neural chip.
Keywords