Adaptive Inertia Observer-based Model-free Predictive Current Control for PMSM Driving System of Electrical Vehicle
Author:
Affiliation:
1. Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences,Jinjiang,China
2. Universidad San Sebastian,Faculty of Engineering,Santiago,Chile
Funder
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10343527/10343421/10344806.pdf?arnumber=10344806
Reference19 articles.
1. Sensorless Predictive Current Control of PMSM EV Drive Using DSOGI-FLL Based Sliding Mode Observer
2. Improved Harmonic Iron Loss and Stator Current Vector Determination for Maximum Efficiency Control of PMSM in EV Applications
3. Deep Learning-Based Long-Horizon MPC: Robust, High Performing, and Computationally Efficient Control for PMSM Drives
4. Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods
5. Prediction Horizons Optimized Nonlinear Predictive Control for Permanent Magnet Synchronous Motor Position System
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1. Adaptive Inertia Observer-Based Model-Free Predictive Current Control for PMSM Driving System of Electric Vehicles;IEEE Transactions on Industry Applications;2024-07
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