Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Expanded PID Controller Using Double-Layers Neural Network In DC Servo System

DC서보계에서 2층신경망을 이용한 확대 PID 제어기

  • 이정민 (동의대학교 전자공학과) ;
  • 하홍곤 (동의대학교 공과대학 전자공학과)
  • Published : 2001.01.01
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Abstract

In the position control system, the output of a controller is generally used as the input of a plant but the undesired noise is included in the output of a controller. Therefore, there is a need to use a precompensator for rejecting the undesired noise. In this paper, the expanded PID controller with a precompensator is constructed. The precompensator and PID controller are designed by a neural network with two-hidden layer and these coefficients are changed automatically to be a desired response of system when the response characteristic is changed under a condition.

Keywords

References

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