대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1997년도 추계학술대회 논문집 학회본부
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- Pages.66-68
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- 1997
신경 회로망을 이용한 유도 전동기의 전류제어
Current Control of Induction Motor using Neural Networks
초록
In this paper, our interest is the identification and control of nonlinear dynamic plant, induction motor, by using neural networks. We usually use vector control in the induction motor such as in the DC motor. When we go over the inputs of voltage source invertor, we can find that torque current and flux current couple each other in the induction motor. Before putting control inputs in the system, we should remove the coupling terms which we already know from them. But we should consider that cross coupling terms have time-varying variables. In this paper, we identified the parameter of induction motor by using neural networks and designed the controller with identified parameters. Through this procedure we obtained compensated inputs which are decoupled each other. Using induction motor currents control, we can make the d axis current hold constant value and control the q axis current at the same time.
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