Data · dataset · 2026
Experimental data and Simulink models for knowledge-guided DNN-based PMSM harmonic compensation
Listed in Teesside University Research Data Repository
This dataset provides the experimental data, simulation models, and source codes associated with the study on a knowledge-guided deep neural network (KG-DNN) with an enhanced adaptive notch filter (EANF) for harmonic compensation in permanent magnet synchronous motor (PMSM) drives.
Description
Experimental data were collected on a 1.5 kW surface-mounted PMSM testbench controlled by a dSPACE DS1202 real-time system. The control algorithm was executed at a 10 kHz interrupt rate, and signals were recorded at 8192 Hz.
The dataset includes two CSV files. experimental_sample.csv contains time-series measurements for six control configurations (A–F), with columns for timestamp (s), reference speed (rpm), measured speed (rpm), d/q-axis currents (A), d/q-axis voltages (V), electromagnetic torque (N·m), average torque error (N·m), total harmonic distortion (%), and configuration label. sensitivity_scan.csv reports the parameter sensitivity scan results, including parameter name, value, average torque error, THD, convergence epochs, and stability status.
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Reproduction instructions are provided in the Supplementary Material of the associated paper.
Links
Where it is published
- DOI doi.org/10.17632/svc3tyct2t.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Automation engineering · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/svc3tyct2t.1 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:400702 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Automation Engineering'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |