Experimental Validation of Neural Network speed controller of induction motor

Experimental Validation of Neural Network speed controller of induction motor

This article is validating the robustness of neural network speed controller of variable frequency drive for three-phase induction motor. Neural network speed controller is investigated under different loading. The speed and torque tracking are investigated for neural network. The neural network...

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Bibliographic Details
Published in:2023 24th International Middle East Power System Conference (MEPCON) pp. 1 - 6
Main Author: Elnaghi, Basem E.
Format: Conference Proceeding
Language:English
Published: IEEE 19-12-2023
Subjects:
FOC
Fuzzy logic
Fuzzy PD-like
Induction motors
neural network and Induction motor
Neural networks
PI control
Shafts
Simulation
Torque
Vector Control
Velocity control
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Summary:This article is validating the robustness of neural network speed controller of variable frequency drive for three-phase induction motor. Neural network speed controller is investigated under different loading. The speed and torque tracking are investigated for neural network. The neural network's results are compared to Fuzzy-like proportional differential (PD) controller and conventional PI. To validate the system performance the DS 1104 control board is used. Both experimental and simulation results show the strength of speed controller based on neural network. Neural network speed controller results in smaller overshoot, undershoot, less rising time and better dynamic performance.
DOI:10.1109/MEPCON58725.2023.10462365