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The Control of A Inverted Pendulum Using Backpropagation

  • 최용길 (광운대하교 제어계측공학과) ;
  • 홍대승 (광운대하교 제어계측공학과) ;
  • 임화영 (광운대하교 제어계측공학과)
  • Choi, Yong-Gil (Dept. of Control and Instrumentation Eng. Kwangwoon Univ.) ;
  • Hong, Dae-Seung (Dept. of Control and Instrumentation Eng. Kwangwoon Univ.) ;
  • Yim, Wha-Yeong (Dept. of Control and Instrumentation Eng. Kwangwoon Univ.)
  • 발행 : 2000.07.17

초록

Fuzzy system which are based on membership functions and rules, can control nonlinear, uncertian, complex system well. However, Fuzzy controller has problems: It is difficult to design a stable for amateur. To update the then-part membership functions of the fuzzy controller can be designed using the error back-propagation algorithm to be minimized error. Then we could be optimized the system choosing a good performance index. The proposed fuzzy controller based on neural network is applied to control an inverted pendulum for demonstration of the robustness of proposed methodology.

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