{"title":"Transient DC Offset Mitigation for Dual Active Bridge Converters Based on Model Predictive Control With Optimized Dynamic Performance","authors":"Dehao Kong;Yongdu Wang;Zhenbin Zhang;Jose Rodriguez;Ralph Kennel;Marcelo Lobo Heldwein","doi":"10.1109/TIE.2024.3482096","DOIUrl":null,"url":null,"abstract":"Transient dc offset and the relevant high current impact are crucial for dual active bridge (DAB) converters. Many previous works require additional resources or complicated implementations. Furthermore, the tradeoff between dynamic performance and the mitigation of dc offset is challenging. A fast dynamic response and a mild dc offset are usually contradictory. To address the current state of research, this article proposes a mitigation method based on model predictive control. Herein, the adjusting subshift angles are calculated based on predictive value and current value. The implementation is easy, and fast dynamics are achieved. Moreover, to address the unexpected current impact caused by the sharp changed shift angles of MPC, an optimization for transient state is proposed. The maximum output power matching references is released as much as possible, provided that the resulting current impact remains below the specified safety threshold. These methods give DABs a fast response speed with no dc offset and release the maximum power while limiting the current impact. Finally, the experimental comparisons with other schemes verify the effectiveness and superiority of the proposed method.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 6","pages":"5906-5916"},"PeriodicalIF":7.2000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10745984/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Transient dc offset and the relevant high current impact are crucial for dual active bridge (DAB) converters. Many previous works require additional resources or complicated implementations. Furthermore, the tradeoff between dynamic performance and the mitigation of dc offset is challenging. A fast dynamic response and a mild dc offset are usually contradictory. To address the current state of research, this article proposes a mitigation method based on model predictive control. Herein, the adjusting subshift angles are calculated based on predictive value and current value. The implementation is easy, and fast dynamics are achieved. Moreover, to address the unexpected current impact caused by the sharp changed shift angles of MPC, an optimization for transient state is proposed. The maximum output power matching references is released as much as possible, provided that the resulting current impact remains below the specified safety threshold. These methods give DABs a fast response speed with no dc offset and release the maximum power while limiting the current impact. Finally, the experimental comparisons with other schemes verify the effectiveness and superiority of the proposed method.
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.