전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제31B권10호
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- Pages.44-52
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- 1994
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- 1016-135X(pISSN)
인공신경회로망에 기초한 직류모터제어에 관한 연구
A Study on DC Motor Control based on Artificial Neural Networks
초록
In this paper, we assume that the dynamics of DC motor and nonlinear load are unknown. We propose an inverse dynamic model of DC motor and nonlinear load using the artificial neural network and construck speed control system based on the proposed dynamic model. We also propose another dynamic model with speed prediction scheme using the artificial neural network that removes the undesirable time delay effect caused by the computation time during the real-time control. We suggest a dynamic model which has arbitrary number of speed arguments and is especially effective when the motor and load has large moment of inertia. Next, we suggest a controller that combine the neurocontrol and PID control with constant gain. We show that the proposed neurocontrol systems have capabilities of noise rejection and generalization to have good velocity tracking through computer simulations and experiments.
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