Dataset for an end-to-end open-source DC motor control workflow: current calibration, system identification, and controller validation

Published: 11 May 2026| Version 1 | DOI: 10.17632/5xvg43r9r8.1
Contributors:
Alejandro Von Chong,

Description

This data article presents raw and processed experimental records from an end-to-end DC motor control workflow implemented on the OpenMCT open-source educational kit. The dataset contains 13 raw acquisition logs with more than 52,000 sample rows and a common 10-column structure that records reference commands, measured speed, loop interval, raw and filtered current-sense values, PWM actuation, and synchronized digital multimeter current measurements when enabled. The experiments cover current-sense calibration, static PWM-to-speed characterization, APRBS-based system identification at 2 ms, 10 ms, and 20 ms sampling times, continuous PI controller validation at 5 ms, 10 ms, 20 ms, and 50 ms loop times, three discrete controller validation cases, and an additional chirp-excitation run. MATLAB scripts, model-result tables, processed MAT files, screenshots, and exported figures are included with the raw logs. The dataset can be reused to build control-laboratory material, compare data-processing and system-identification routines, benchmark controller-validation workflows, and reproduce an experimental digital-control sequence on a documented open-source electromechanical platform.

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Motor System, Automatic Control

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