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Modeling and Speed Tuning of a PMSM with Presence of Fissure Using Dragonfly Algorithm.

Authors :
Aguilar-Mejía, Omar
Manilla-García, Abraham
Rivas-Cambero, Ivan
Minor-Popocatl, Hertwin
Source :
Applied Sciences (2076-3417); Dec2020, Vol. 10 Issue 24, p8823, 19p
Publication Year :
2020

Abstract

This paper presents a robust trajectory tracking control for a Permanent Magnet Synchronous Motor (PMSM) with consideration a fault, parametric uncertainties and external disturbances by effectively integrating robust optimal linear quadratic control. One kind of fault is considered in the machine, particularly the presence of fissure rotor. The dynamic model of the PMSM with the presence of fissure presents highly non-linear behaviors, which means that tuning is quite complicated, which the tuning was chosen through swarm intelligence optimization (Dragonfly Algorithm). A sensitivity analysis is carried out, in order to limit the search range to minimize the evaluation time. This methodology was used to diminish these defects during motor operation. Simulation results show that the optimal linear quadratic control method has a robust fault-tolerant performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763417
Volume :
10
Issue :
24
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
147808063
Full Text :
https://doi.org/10.3390/app10248823