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FPGA-Based Custom Hardware-in-the-Loop Emulation of High-Power Induction Motor Drives with Sub-Microsecond Resolution Using NI LabVIEW FPGA Cover

FPGA-Based Custom Hardware-in-the-Loop Emulation of High-Power Induction Motor Drives with Sub-Microsecond Resolution Using NI LabVIEW FPGA

Open Access
|Jun 2026

Abstract

This paper presents the development and experimental validation of a custom Field-Programmable Gate Array (FPGA)-based hardware-in-the-loop (HIL) emulator for high-power induction motor drives. The proposed system enables real-time emulation of a variable-frequency drive consisting of a diode rectifier, a two-level voltage source inverter (VSI), and a 215 HP induction machine. The emulator is implemented on an NI PCIe-7857R FPGA platform using LabVIEW FPGA and fixed-point arithmetic optimised for Kintex-7 resources. A key contribution of this work is the achievement of a 100 ns real-time simulation time step for the converter and machine models, enabling accurate representation of fast switching dynamics while avoiding aliasing effects typically encountered in HIL systems. A multi-rate architecture is adopted to allocate appropriate sampling frequencies to different subsystems, improving computational efficiency and stability. Experimental results obtained from a closed-loop setup with an sbRIO-based controller demonstrate accurate emulation of inverter operation, induction machine dynamics, and controller interactions. The developed platform also enables detailed investigation of switching phenomena, such as voltage spikes, dead-time effects, and current ripple. Comparative validation with a Typhoon HIL 602+ platform confirms similar dynamic behaviour and harmonic performance, demonstrating that the proposed low-cost FPGA-based solution provides a flexible and high-fidelity alternative for real-time power electronics research and controller development.

DOI: https://doi.org/10.2478/pead-2026-0016 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Language: English
Page range: 248 - 271
Submitted on: Mar 11, 2026
Accepted on: May 7, 2026
Published on: Jun 9, 2026
In partnership with: Paradigm Publishing Services

© 2026 Mohamad Esmaeil Iranian, Elyas Zamiri, Angel de Castro, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.