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A Low Computing FCS-MPC Based on Voltage Vector Tracking Algorithm With CMVs Suppression and Capacitor Charging Balance Algorithm Without Weight Factors for ANPC 3P-5L Converters

IEEE transactions on power electronics
Active neutral-point clamped three-phase five-level (3P-5L) converter system under conventional FCS-MPC algorithm is subjected to high computational burden, large common mode voltages (CMVs), unfixed switching frequency, and cumbersome weight factor ...
Shaomin Yan   +4 more
semanticscholar   +1 more source

Transistor Temperature Balancing Method for Three-level Inverters Based on FCS-MPC

2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), 2019
The there-level Neutral Point Clamped(3L-NPC) inverter is widely used in various applications. One of shortcoming in there-level NPC is the uneven temperature distribution caused by uneven power loss distribution. For this reason, this paper proposes a temperature balance control (TBC) method based on finite control set model predictive control (FCS ...
Tao Peng 0010   +3 more
openaire   +1 more source

A Fuzzy Approximation for FCS-MPC in Power Converters

IEEE Transactions on Power Electronics, 2022
Xing Liu   +5 more
openaire   +1 more source

Low-Complexity Heun's Method-Based FCS-MPC With Reduced Common-Mode Voltage for a Five-Level Inverter

IEEE transactions on power electronics
The conventional finite control-set model predictive control (FCS-MPC) methods need a cost function with weighting factors to minimize the common-mode voltage (CMV) in the multilevel inverter (MLI) fed electric drive systems.
Dharmikkumar Prajapati   +3 more
semanticscholar   +1 more source

Fuzzy Approximation ARX Model-Based Intelligent Two-Horizon Robust FCS-MPC for Power Converter

IEEE Transactions on Transportation Electrification
A finite control-set model predictive control (FCS-MPC) strategy is widely recognized as an interesting research topic in both theoretical and practical architectures.
Xing Liu   +5 more
semanticscholar   +1 more source

Double Deep Q Networks Reinforcement Learning-Based Dynamic Weighting Factor of FCS-MPC for Multilevel Inverters

IEEE International Conference on Compatibility, Power Electronics and Power Engineering
Finite control set model predictive control (FCS-MPC) is one of the widely used control techniques for multilevel inverters (MLI) where multiple control objectives can be included in the cost function to be minimized at each time step.
A. N. Alquennah   +5 more
semanticscholar   +1 more source

Validation of FCS-MPC control strategy based on CHIL

5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 2023
Xi Wang, Li Lu
openaire   +1 more source

Smallest control invariant set and error boundaries of FCS-MPC for PMSM

2017 IEEE Applied Power Electronics Conference and Exposition (APEC), 2017
This paper studies the steady-state behavior of Finite Control Set (FCS) Model Predictive Control (MPC) for permanent-magnet synchronous machine (PMSM). The control actuation is formulated as a trajectory tracking problem in the αβ stator flux space. The concept of set stability and Control Invariant Set (CIS) is used to determine the smallest possible
Xiaoqing Yong, Matthias Preindl
openaire   +1 more source

Modulated FCS-MPC for DFIG-DPC

2022
Alfeu J. Sguarezi Filho   +1 more
openaire   +1 more source

Long-Prediction Horizon FCS-MPC for Multiphase Electric Drives With a Selective Control Action Promotion

IEEE transactions on industrial electronics (1982. Print)
Model predictive control (MPC) is an interesting regulation solution in the field of multiphase electric drives. Its performance has been improved from different perspectives, but most works implement a single-step horizon approach.
Juan Carrillo-Ríos   +4 more
semanticscholar   +1 more source

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