Hybrid Model Predictive SHM Control for Zero CMV in Three-Phase Five-/Nine-Level Packed E-Cell Inverter

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-08-27 DOI:10.1109/TIE.2024.3440497
Mohammad Sharifzadeh;Eric Laurendeau;Kamal Al-Haddad
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Abstract

This article proposes a hybrid model predictive selective harmonic mitigation (SHM) to design a multiobjective switching control where zero common mode voltage (CMV), harmonic distortion mitigation, capacitor voltage balancing, and switching voltage-level operation are aimed in three-phase packed E-cell (PEC) inverter. SHM is developed for low frequency five-/nine-level voltages to improve power quality and achieve zero CMV. Afterward, SHM is hybridized with model predictive control (MPC) to select switching states in an online procedure and then actively balance PEC capacitor voltages. Due to MPC-based implementation of SHM, the switching voltage-level is acquired where both five-/nine-level voltages can be generated in three-phase PEC inverter to demonstrate its capability in dealing with faulty switch conditions. Hybrid model predictive SHM switching control is proven through both hardware-in-the-loop (HIL) using OPAL-RT simulator and experimental implementation using DS1202 and the results illustrate that all targeted objectives are attained for low frequency five-/nine-level three-phase PEC inverter.
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实现三相五/九级成组电子电池逆变器零 CMV 的混合模型预测 SHM 控制
本文提出了一种混合模型预测选择性谐波抑制(SHM),以设计一种多目标开关控制,其中共模电压零(CMV)、谐波失真抑制、电容电压平衡和开关电压电平操作为目标。SHM是针对低频五/九级电压开发的,以改善电能质量并实现零CMV。然后,将SHM与模型预测控制(MPC)相结合,在在线过程中选择开关状态,并主动平衡PEC电容器电压。由于基于mpc的SHM实现,获得了在三相PEC逆变器中可以产生5 / 9级电压的开关电压水平,以证明其处理故障开关条件的能力。混合模型预测SHM开关控制通过OPAL-RT模拟器的硬件在环(HIL)和DS1202的实验实现进行了验证,结果表明低频五/九电平三相PEC逆变器的所有目标都达到了。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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