Samenvatting
Switched Reluctance Motors (SRMs) are cost-effective electric actuators that utilize magnetic reluctance to generate torque, with torque ripple arising from unaccounted manufacturing defects in the rotor tooth geometry.
This paper aims to design a versatile, resource-efficient commutation function for accurate control of a range of SRMs, mitigating torque ripple despite manufacturing variations across SRMs and individual rotor teeth.
The developed commutation function optimally distributes current between coils by leveraging the variance in the torque-current-angle model and is designed with few parameters for easy integration on affordable hardware.
Monte Carlo simulations and experimental results show a tracking error reduction of up to 31\% and 11\%, respectively. The developed approach is beneficial for applications using a single driver for multiple systems and those constrained by memory or modeling effort, providing an economical solution for improved tracking performance and reduced acoustic noise.
This paper aims to design a versatile, resource-efficient commutation function for accurate control of a range of SRMs, mitigating torque ripple despite manufacturing variations across SRMs and individual rotor teeth.
The developed commutation function optimally distributes current between coils by leveraging the variance in the torque-current-angle model and is designed with few parameters for easy integration on affordable hardware.
Monte Carlo simulations and experimental results show a tracking error reduction of up to 31\% and 11\%, respectively. The developed approach is beneficial for applications using a single driver for multiple systems and those constrained by memory or modeling effort, providing an economical solution for improved tracking performance and reduced acoustic noise.
| Originele taal-2 | Engels |
|---|---|
| Titel | 2024 European Control Conference, ECC 2024 |
| Uitgeverij | Institute of Electrical and Electronics Engineers |
| Pagina's | 2448-2453 |
| Aantal pagina's | 6 |
| ISBN van elektronische versie | 978-3-9071-4410-7 |
| DOI's | |
| Status | Gepubliceerd - 24 jul. 2024 |
| Evenement | 2024 European Control Conference (ECC) - KTH Royal Institute of Technology, Stockholm, Zweden Duur: 25 jun. 2024 → 28 jun. 2024 Congresnummer: 22 https://ecc24.euca-ecc.org/ |
Congres
| Congres | 2024 European Control Conference (ECC) |
|---|---|
| Verkorte titel | ECC 2024 |
| Land/Regio | Zweden |
| Stad | Stockholm |
| Periode | 25/06/24 → 28/06/24 |
| Internet adres |
Financiering
This work is part of the research programme VIDI with project number 15698, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO). In addition, this research has received funding from the ECSEL Joint Undertaking under grant agreement 101007311 (IMOCO4.E). The Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme.
| Financiers | Financiernummer |
|---|---|
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek |