International journal of advanced smart convergence

  • 제7권3호
  • /
  • Pages.15-22
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  • 2018
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  • 2288-2847(pISSN)
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  • 2288-2855(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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Control of Single Propeller Pendulum with Supervised Machine Learning Algorithm

  • 투고 : 2018.06.20
  • 심사 : 2018.07.02
  • 발행 : 2018.09.30
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초록

Nowadays multiple control methods are used in robot control systems. A model, predictor or error estimator is often used as feedback controller to control a robot. While robots have become more and more intensive with algorithms capable to acquiring independent knowledge from raw data. This paper represents experimental results of real time machine learning control that does not require explicit knowledge about the plant. The controller can be applied on a broad range of tasks with different dynamic characteristics. We tested our controller on the balancing problem of a single propeller pendulum. Experimental results show that the use of a supervised machine learning algorithm in a single propeller pendulum allows the stable swing of a given angle.

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참고문헌

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