지능제어 신경망을 이용한 DC 서보 전동기의 위치제어 특성 및 성능연구

Research on the Position Control of DC Servo Motor Using Intelligent Control Neural Network

Recent control techniques have been proposed in order to improved the control performance characteristics for automatically accurate control system. In the position control system using a DC servo motor as a driver, the response-characteristic of system is controlled by the PID controller. In this paper, for adjusting the error signal and the plant input using the intelligent control neural network. The coupling coefficients of each layers of neural network are automatically adjusted. We assume that a plant is liberals and derive the learning algorithm. The proposed controller apply to the position control system using DC servo motor as driving source and can verify usefulness of this method through the experiment.