Adaptive-Tuning of PID Controller using Self-Recurrent Neural Network

자기순환 신경망을 이용한 PID 제어기의 적응동조

  • 박광현 (동의대학교 전자공학과 대학원) ;
  • 허진영 (동의대학교 전자공학과 대학원) ;
  • 하홍곤 (동의대학교 전기·전자공학부)
  • Published : 2001.06.01


In industrial actual control system, PID controller has been used with its high delicate control system in position control system. PID controller has simple structure and superior ability in several characteristics. When the response of system is changed by delay time, variable load , disturbances and external environment, control gain of PID controller must be readjusted on the system dynamic characteristics. Therefore, a control ability of PID controller is degraded when th control gain is inappropriately determined. When the response characteristic of system is changed under a condition, control gain of PID controller must be changed adaptively to be a waited response of system. In this paper an adaptive-tuning type PID controller is constructed by self-recurrent Neural Network(SRNN). applying back-propagation(BP) algorithm. Form the result of computer simulation in the proposed controller, its usefulness is verified.