Abstract
This article proposes an innovative control strategy for the Dual Active Bridge (DAB) power converter, enhancing the Moving Discretized Control Set - Model Predictive Control (MDCS-MPC) algorithm for voltage and current control. The proposed approach enables fast dynamic response, precise control, and no steady-state error in both voltage and current regulation. By utilizing a predictive model of the system variables, the algorithm anticipates their behavior for various actuation scenarios, while effectively managing output current perturbations. To ensure safe operation within specified limits, two current limiting methods are introduced: a dynamic current limiter and a dynamic reference algorithm. Experimental results are provided to assess the performance of the control algorithm for two scenarios, a resistive load and a programmable voltage source in series with a small resistor, to emulate a battery. These algorithms are particularly interesting for applications that demand control of both voltage and current within a safe operational range, such as battery systems.
Original language | English |
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Title of host publication | IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9798350331820 |
DOIs | |
State | Published - 2023 |
Event | 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore Duration: 2023 → 2023 |
Publication series
Name | IECON Proceedings (Industrial Electronics Conference) |
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ISSN (Print) | 2162-4704 |
ISSN (Electronic) | 2577-1647 |
Conference
Conference | 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 |
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Country/Territory | Singapore |
City | Singapore |
Period | 16/10/23 → 19/10/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering