Two-Layer Coordinated Predictive Control of the Interleaved Boost Converter and Permanent Magnet Synchronous Motor
In the last decade, utilizing multiple power converters configured in parallel and series arrangements has become increasingly prevalent. One of the most commonly used configurations is the Permanent Magnet Synchronous Motor (PMSM) drive in electric vehicles. This paper utilized a typical PMSM motor drive configuration, including a DC boost converter and a voltage source inverter (VSI). The 3-phase interleaved boost converter was chosen for feeding VSI because it provides a higher power transfer and reduces switch stress. Due to the cascade configuration, improper control of any single converter causes instability in the entire system. Controllers’ inefficiency arises from independent decision-making and their lack of mutual influence. This paper proposes a finite control set model predictive control (FCS-MPC) method that combines controllers to address this issue. However, designing a single control system for multiple power converters can significantly increase complexity and computational burden, making experimental implementation challenging.This paper presents a new two-stage cost function technique that reduces the computational burden, making it feasible to implement on a microcontroller. Simulink results and experimental tests are provided to validate the effectiveness of this method.
Authors
- S. Alireza Davari (ORCID: https://orcid.org/0000-0003-4337-1197)
- José Rodríguez (ORCID: https://orcid.org/0000-0002-1410-4121)
- Freddy Flores‐Bahamonde (ORCID: https://orcid.org/0000-0001-5043-1077)
- Mohammad Bagher Rahmani (ORCID: https://orcid.org/0000-0003-4189-7873)
- Reza Zolfagharian
Institutions
- Universidad Andrés Bello (CL)
- San Sebastián University (CL)
- Shahid Rajaee Teacher Training University (IR)
Publication Details
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1109/pedstc65486.2025.10912044
- Primary Topic
- Multilevel Inverters and Converters
- Type
- article
- Field-Weighted Citation Impact
- 0.00