아크용접 로보트시스템에서 용융지크기의 뉴로-퍼지 제어

Neuro-Fuzzy Contro of Weld Pool Size in Arc Welding Robot System (1st Report : Fuzzy Control of Weld Pool Size)

  • 전외식 (천안공업전문대학 용접기술과)
  • 발행 : 1997.12.01

초록

Welding technique is widely applied to general industry such as pressure vessel for chemical plant, pipe system, heavy industry, and automobile. There are some points which must be considered when robot system is used in welding automation process for productivity improvement. Welding quality is governed by heat input, and this quantity can be different according to shape, property, and thick of material . For desired heat input , weld input parameters such as welding voltage, current, and welding velocity must be determined with those consideration. Until now these parameters have been determined mainly by experience of operator. In this study, the size of welding zone was predicted by fuzzy rules were constructed from the relation between welding variables and weld pool size. Inverse model method which welding control input for welder is determined with optimum voltage and current by fuzzy controller is validatied by computer simulation.

키워드

참고문헌

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