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허진영,김홍렬,하홍곤(Hong-Kon Ha),고태언(Tae-En Ko) 한국조명·전기설비학회 1999 한국조명·전기설비학회 학술대회논문집 Vol.1999 No.-
In this paper, we consider to apply of 2-DOF (Degree of Freedom) PID controller at D.C servo motor system. Many control system use I-PD, PID control system. But the position control system have difficulty in controling variable load and changing parameter. We propose neural network 2-DOF PID control system having feature for removal disturbrances and tracking function in the target value point. The back propagation algorithm of neural network used for tuning the 2-DOF parameter (α, β, γ, η). We investigate the 2-DOF PID control system in the position control system and verify the effectiveness of proposal method through the result of computer simulation.
2개의 은닉층을 가진 신경망에 의한 확대 I-PD제어계의 구성
강동원(Dong-Won Kang),김대성(Dea-Sung Kim),하홍곤(Hong-Kon Ha),고태언(Tae-En Ko) 한국조명·전기설비학회 1999 한국조명·전기설비학회 학술대회논문집 Vol.1999 No.-
Many control techniques have been proposed in order to improve the control performance of discrete-time domain control system. In the position control system using a DC servo motor as control system, the response-characteristic of system is controlled by the I-PD controller. In the I-PD longer if gains of I-PD controller are unsuitable. In this paper, therefore, a expanded I-PD control system is constructed by inserting a pre-compensator at out terminal of I-PD controller. It is implemented by neural network with two hidden layers. From the result of computer simulation in the proposed control algorithm, its usefulness is verified.
위치 제어계에서 신경망에 의한 2 자유도 PID 제어계의 구성
허진영,하홍곤,고태언 동의대학교 산업기술개발연구소 2000 産業技術硏究誌 Vol.14 No.-
Many industrial control system often use PID, I-PD in sort of the conventional control system method. But it is difficult to control a satisfactory response in variable load and changing parameter, can not have the both purpose of setpoint tracking and disturbance rejection at the same time. Therefore we propose 2-DOF(Degree of Freedom) PID controller ebust for tracking function in the target value point as well as removal disturbance. In this paper construct to 2-DOF PID control system in the position control system at D.C servo motor. first construct 2-DOF PID controller by a neural network. 2-DOF parameter (α, β, γ, η ) is tuned by the back-propagation algorithm of neural network. we consider the 2-DOF control system in the position control system and verify availableness of proposal method through the result of computer simulation.
강동원,조재오,이현철,하홍곤,고태언 동의대학교 산업기술개발연구소 2000 産業技術硏究誌 Vol.14 No.-
Many control techniques have been proposed in order to improve the control performance of discrete-time domain control system. In the position control system using a DC servo motor as a driver, the response-characteristic of system is controlled by the I-PD controller. In the I-PD control system, the transient response characteristic is more increased and settling time gets longer if gains of I-PD controller are unsuitable. In this paper, a expanded I-PD control system is constructed by inserting a pre-compensator at output terminal of I-PD controller. it is implemented by neural network with two hidden layers. From the result of computer simulation in the proposed control algorithm, its usefulness is verified.
이수성,고태언,하홍곤 東義大學校 産業技術開發硏究所 1997 産業技術硏究誌 Vol.11 No.-
In this paper, we propose a new method to automatically adjust the gains of I-PD controller and the coefficients of pre-compensator using a neural network. The neural network used here consists of three layers. Coupling coefficients of the network are regarded as gains of the I-PD controllers and as coefficents of the pre-compensator. The coupling coefficients are adjusted to minimize the error between the output of a control system and the output of a model.