Research on high-speed motor control based on FPGA and semi-physical simulation
With the advancement of more electric aircraft, the Environmental Control System (ECS) has progressively shifted from the traditional engine bleed mode to an electric drive mode. This transition not only significantly simplifies the aircraft's structure but also effectively reduces pollutant emissions. At the heart of the Electric ECS (EECS), the High-Speed Permanent Magnet Synchronous Motor (HSPMSM) stands out for its exceptional performance, with each rotation cycle requiring mere milliseconds or less. To ensure the stable operation of the HSPMSM at such high speeds, the design of its control system faces formidable challenges, particularly stringent requirements on control cycle times and latency. In response, this paper proposes an architecture integrating FPGA and DSP for precise HSPMSM control, aiming to significantly enhance the response speed of the control system. Within the control strategy for the HSPMSM, we innovatively incorporate advanced functional module designs such as the Coordinate Rotation Digital Computer (CORDIC) algorithm, Proportional-Integral (PI) controllers, and Space Vector Pulse Width Modulation (SVPWM) by using the powerful parallel processing capabilities of FPGA. Compared with traditional controllers like DSP for HSPMSM applications, the successful integration of FPGA with advanced control algorithms can effectively shorten the control cycle. Besides, by constructing a hardware-in-the-loop (HIL) real-time simulation model, we successfully demonstrated the remarkable advantages of the FPGA-based control system in terms of real-time performance, stability, and control accuracy.
Authors
- Xinyuan Wang (ORCID: https://orcid.org/0000-0002-8058-3597)
- Lili Sun (ORCID: https://orcid.org/0000-0002-6376-7167)
- Run Zhang (ORCID: https://orcid.org/0000-0002-0331-6778)
Institutions
- Aero Engine Corporation of China (China) (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/icp.2024.3104
- Primary Topic
- Real-time simulation and control systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00