Model Reference Neural Predictive Controller for Induction Motor Drive
نویسنده
چکیده
In this paper an accurate nonlinear model of induction motor using an artificial neural network (ANN) is given. This modeling technique is done by using the data from the system inputs/outputs information without requiring the knowledge about machine parameters. The ANN training is carried out off-line using the Levenberg-Marquardt algorithm. Then, the proposed neural network model is used as predictor for predictive control with reference model to track speed and flux profiles, where the cost function is minimized by Newton-Raphson method. Results of simulation show that the proposed model is accurate under both transient and steady state conditions. Key-Words: Input-Output Modeling, ANN, Predictive Control, Reference Control Model, Induction Motor.
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