신경 회로망을 이용한 3상 유도전동기의 위치 제어시스템 구현에 관한 연구 = On the Implementation of Position Control System for 3 Phase Induction Motor using Neural Networks

다국어 초록 (Multilingual Abstract)

A PID controller has been used for industrial machine control since it has many advantages such as the simple structure and fast response. But it is difficult to find the optimal value of proportional, integral and differential gain for the PID controller and the steady state error makes the application to precision control system unsuitable. A control algorithm using Neural Networks and reaching mode controller had been proposed to solve these problems and the algorithm was implemented in this paper.
DSP(TMS320C31) which is high speed processor and FPGA designed for motor control were used for the fast calculation of response, control input, PWM wave generation, and speed measurement of the induction motor. Experimentation for position control of 3 phase induction motor was executed to show superiority of this controller and the probability of application to industrial machine.