Computationally efficient predictive torque control for induction motor drives based on flux positional errors and extended Kalman filter
Author:
Affiliation:
1. Department of Control and Mechatronic Engineering School of Electrical Engineering Universiti Teknologi Malaysia Skudai Malaysia
2. Department of Electronics Engineering The Islamia University of Bahawalpur Bahawalpur Pakistan
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/elp2.12035
Reference26 articles.
1. State of the Art of Finite Control Set Model Predictive Control in Power Electronics
2. A simplified finite‐state predictive direct torque control for induction motor drive;Habibullah M.;IEEE Trans. Ind. Electron.,2016
3. Hybrid predictive control strategy for a low‐cost converter‐fed IM drive
4. Hybrid exploration state for the simplified finite control set‐model predictive control with a deadbeat solution for reducing the current ripple in permanent magnet synchronous motor
5. Overview of model predictive control for induction motor drives
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1. A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives;IEEE Transactions on Power Electronics;2024-08
2. Hysteresis based predictive torque control without weighting factors for induction motor drives;IET Control Theory & Applications;2024-06-21
3. Optimal weighting factor design based on entropy technique in finite control set model predictive torque control for electric drive applications;Scientific Reports;2024-06-04
4. Dynamic analysis of a mechatronic drive system with an induction motor;Journal of Theoretical and Applied Mechanics;2023-04-16
5. Data-Driven Online Induction Motor Parameter Adjustment Method for Maximum Torque Output;IEEE Transactions on Industrial Electronics;2023
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