Optimization of model reference adaptive system based speed estimation for speed sensorless control of induction motors via differential evolution algorithm

Küçük Resim Yok

Tarih

2013

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

IFAC Secretariat

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

This study proposes an optimally tuned Model Reference Adaptive System (MRAS) based speed estimator using back electromotive force (EMF) vector, which does not require pure integration. The PI (Proportional and Integral) gain coefficients in the speed estimator are optimally determined by utilizing Differential Evolution (DE) algorithm. The performance of the speed estimator is tested with both simulation and real-time experiments for a wide speed range. The obtained results verify the desired performance of speed estimation. © IFAC.

Açıklama

Committee on Adaptive and Learning Systems;Control (IFAC) - TC1.2: Technical;International Federation of Automatic;Signal Processing;TC 1.1: Modelling, Identification and;TC 2.1: Control Design
11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2013 -- 3 July 2013 through 5 July 2013 -- Caen -- 99962

Anahtar Kelimeler

Kaynak

IFAC Proceedings Volumes (IFAC-PapersOnline)

WoS Q Değeri

Scopus Q Değeri

N/A

Cilt

46

Sayı

11 PART

Künye