شماره ركورد كنفرانس :
5060
عنوان مقاله :
Symbiotic Organism Search of a NonLinear Kalman Filter for Induction Motors Sensor-less Control
Author/Authors :
S.R. ، Movahhed Ghodsinya Assistant Professor, Electrical Engineering Department - Faculty of Engineering - University of Torbat heydarieh Torbat heydarieh, Iran , E.، Azimirad Assistant Professor, Electrical Engineering Department - Faculty of Engineering - University of Torbat heydarieh Torbat heydarieh, Iran , M.، Noorabadi Assistant Professor, Electrical Engineering Department - Faculty of Engineering - University of Torbat heydarieh Torbat heydarieh, Iran
كليدواژه :
Extended Kalman Filter , Induction motor , Field Oriented Control , Symbiotic Organism Search
عنوان كنفرانس :
11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
This paper presents a new strategy to achieve high performance estimation for sensorless control of induction Motors. The suggested technique integrates the Symbiotic Organism Search Optimization (SOS) algorithm to tune the Extended Kalman Filter observer through evaluating noise matrix (R) and resolving the optimal covariance matrix (Q) values. The overall idea is to construct optimized Extended Kalman Filter observer with the basic one. Results of the simulation verified the efficacy in terms of accuracy and adaptive performance of the proposed strategy.
