Tuning of a type-III software-based resolver-to-digital converter through genetic algorithm

Felipe A. Monteiro, Thyago Estrabis, Raymundo Cordero, Juliana Montemor, Joao O.P. Pinto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Resolver is a sensor used in applications that require a reliable angle measurement. However, getting the angular position from the resolver outputs is a difficult task. Observers called resolver-to-digital converters (RDCs) are used to get the angular position from resolver. In many researches, RDCs are estimation algorithms (software-based RDCs). The transient response and robustness against noise of the angle estimation depends on the parameters of the RDC. This paper proposes the use of a genetic algorithm (GA) to set the parameters of a type-III software-based RDC. GA is a heuristic algorithm that search a solution that minimize a fitness function. In this paper, the solution is composed by the gains of the angular tracking observer (ATO) that composes the RDC. On the other hand, the cost function is a linear combination of the error peak, the settling time and the effect of noise in the angle estimation. Simulations shows that the angle estimation using the proposed approach has accuracy, good transient response and robustness against noise. Besides, GA allows customizing the ATO in order for the RDC to give an estimation where the noise rejection or the settling time is priority.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages576-581
Number of pages6
ISBN (Electronic)9781728157542
DOIs
StatePublished - Feb 2020
Externally publishedYes
Event21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duration: Feb 26 2020Feb 28 2020

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2020-February

Conference

Conference21st IEEE International Conference on Industrial Technology, ICIT 2020
Country/TerritoryArgentina
CityBuenos Aires
Period02/26/2002/28/20

Funding

Authors want to thanks Graduation Program in Electrical Engineering of the Federal University of Mato Grosso do Sul, PPGEE-UFMS, for the support to this research

FundersFunder number
PPGEE-UFMS
Instituto Federal de Mato Grosso

    Keywords

    • Angle tracking observer
    • Genetic algorithm
    • Resolver
    • Software-based resolver-to-digital converter

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