뉴럴 네트워크를 이용한 지능형 통합 제어 시스템 설계

Design of an Intelligent Integrated Control System Using Neural Network

  • 정동연 (경남대학교 대학원 기계설계학과) ;
  • 김경년 (거제대학 메카트로닉스학과) ;
  • 이정호 (상산암데코(주)) ;
  • 김원일 (경남대학교 기계자동화공학부) ;
  • 한성현 (경남대학교 기계자동화공학부)
  • 발행 : 2002.04.01

초록

In this paper, we have proposed a new approach to the design of robot vision system to develop the technology for the automatic test and assembling of precision mechanical and electronic parts for the factory automation. In order to perform real time implementation of the automatic assembling tasks in the complex processes, we have developed an intelligent control algorithm based-on neural networks control theory to enhance the precise motion control. Implementing of the automatic test tasks has been performed by the real-time vision algorithm based-on TMS320C31 DSPs. It distinguishes correctly the difference between the acceptable and unacceptable defective item through pattern recognition of parts by the developed vision algorithm. Finally, the performance of proposed robot vision system has been illustrated by experiment for the similar model of fifth cell among the twelve cell for automatic test and assembling in S company.

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