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실시간 진화 신경망 알고리즘을 이용한 전기.유압 서보 시스템의 적응 학습제어
Adaptive Learning Control of Electro-Hydraulic Servo System Using Real-Time Evolving Neural Network Algorithm

장성욱   (부산대학교 기계공학부 일반대학원UU0000613  ); 이진걸   (부산대학교 기계공학부 및 기계기술 연구소UU0000613  );
  • 초록

    The real-time characteristic of the adaptive leaning control algorithms is validated based on the applied results of the hydraulic servo system that has very strong a non-linearity. The evolutionary strategy automatically adjusts the search regions with natural competition among many individuals. The error that is generated from the dynamic system is applied to the mutation equation. Competitive individuals are reduced with automatic adjustments of the search region in accordance with the error. In this paper, the individual parents and offspring can be reduced in order to apply evolutionary algorithms in real-time. The feasibility of the newly proposed algorithm was demonstrated through the real-time test.


  • 주제어

    evolutionary algorithm .   real-time .   adaptive learning control .   mutation .   search region.  

  • 참고문헌 (28)

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