Comparative study of multi‐objective finite set predictive control methods with new max–min strategy applied on a seven‐level packed U ‐cell inverter
Author:
Affiliation:
1. Shahrood University of TechnologyShahroodIran
2. Ossiaco IncMontrealCanada
3. Ecolde de Technologie SuperieureMontrealCanada
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-pel.2018.5496
Reference27 articles.
1. Technology readiness assessment of model predictive control in medium‐ and high‐voltage power electronics;Papafotiou G.A.;IEEE Trans. Ind. Electron.,2016
2. State of the art of finite control set model predictive control in power electronics;Rodriguez J.;IEEE Trans. Ind. Electron.,2013
3. Model predictive control: a simple and powerful method to control power converters;Kouro S.;IEEE Trans. Ind. Electron.,2009
4. Model Predictive Multi-Objective Vehicular Adaptive Cruise Control
5. Predictive Control in Power Electronics and Drives
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2. Proportional‐resonant based control strategy for grid‐connected packed‐E cell inverters with Lyapunov filter‐based PLL;IET Generation, Transmission & Distribution;2022-09-07
3. A Single-Phase 35-levels Cascaded PUC Multilevel Inverter Fed by a Single DC-Source;2021 IEEE Energy Conversion Congress and Exposition (ECCE);2021-10-10
4. Switching-Based Optimized Sliding-Mode Control for Capacitor Self-Voltage Balancing Operation of Seven-Level PUC Inverter;IEEE Transactions on Industrial Electronics;2021-04
5. Solving predictive control problem of fast‐varying multivariable systems by incorporating unknown active dynamics generated by real‐time adaptive learning machine;Expert Systems;2020-04-27
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