Development of a Control System for Permanent Magnet Synchronous Motor Based on LabVIEW and FPGA

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Event
WCX SAE World Congress Experience
Authors Abstract
Content
With the strict requirements of harmful emission regulations, carbon peaking and neutralization goal, the internal combustion engine (ICE) industry is facing great challenges. Compared with pure ICE powertrain, hybrid powertrain has the advantages on fuel consumption and harmful emissions, which is more suitable for the market today.
In series hybrid powertrain, because of the direct mechanical connection between ICE and motor, the motor can be used as an assistant in optimizing the performance of ICE. In order to realize the cycle-based or crank angle-based control of ICE, a high-frequency motor control system need to be built. Field Programmable Gate Array (FPGA) has the characteristics of high calculation frequency and high reliability to meet the demand. At the same time, the ICE control based on LabVIEW and FPGA has been realized. In order to realize the high-frequency co-control of ICE and motor, this paper developed a high-frequency and high-precision control system for permanent magnet synchronous motor (PMSM) based on LabVIEW and FPGA with vector control technology. Its functions include closed control loops for stator current and PMSM rotating speed. Then, based on NI Compact RIO platform, the hardware system of motor control is built and some verification experiments are done. In the constant voltage-frequency ratio speed open-loop test, current closed-loop test and speed closed-loop test, it is found that the speed response of the motor is very rapid, the overshoot and the steady state fluctuation are low.
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DOI
https://doi.org/10.4271/2022-01-0732
Pages
10
Citation
Zhou, Y., Li, M., Long, Q., Yuan, D. et al., "Development of a Control System for Permanent Magnet Synchronous Motor Based on LabVIEW and FPGA," SAE Int. J. Adv. & Curr. Prac. in Mobility 5(2):463-472, 2023, https://doi.org/10.4271/2022-01-0732.
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0732
Content Type
Journal Article
Language
English