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Leveraging High-Level Synthesis to Migrate Motor Control Algorithms From Microcontroller to FPGAAs motor control algorithms become increasingly complex, traditional microcontroller-based implementations are reaching computational limits that prevent the controller from operating at the required speed. This paper presents a novel workflow leveraging High-Level Synthesis (HLS) to migrate motor control algorithms from a microcontroller implementation to a Field-Programmable Gate Array (FPGA) implementation. The proposed approach utilizes the free Vitis HLS software to automatically convert Embedded Coder-generated C code from a Simulink model into Hardware Description Language (HDL) code suitable for FPGA deployment.
Document ID
20260002252
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Authors
Emily Belovich
(Glenn Research Center Cleveland, United States)
Julie Blystone
(Glenn Research Center Cleveland, United States)
John Maroli
(Glenn Research Center Cleveland, United States)
Matthew Granger
(Glenn Research Center Cleveland, United States)
Date Acquired
March 17, 2026
Subject Category
Aircraft Propulsion and Power
Aeronautics (General)
Meeting Information
Meeting: IEEE Transportation Electrification Conference and Expo and Electric Aircraft Technologies Symposium (ITEC + EATS)
Location: Novi, MI
Country: US
Start Date: June 10, 2026
End Date: June 12, 2026
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: 649097.04.03.02.93
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
Keywords
FPGA
High-Level Synthesis
Motor Control Algorithm
Electrified Aircraft
Motor Drive
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