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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on high-speed motor control based on FPGA and semi-physical simulation

Xinyuan Wang, Lili Sun, Run Zhang
IET conference proceedings.
Real-time simulation and control systems
article

Research on high-speed motor control based on FPGA and semi-physical simulation

Xinyuan Wang, Lili Sun, Run Zhang
article en

Abstract

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.

IET conference proceedings.Vol. 2024(13)
Aero Engine Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 99%
Real-time simulation and control systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.