Using FE calculations and data-based system identification techniques to model the nonlinear behavior of PMSMs

IEEE Transactions on Industrial Electronics

Volumn 61, Issue 11, 2014, Pages 6454-6462

  Bramerdorfer, Gerd ^a   Winkler, Stephan M ^b   Kommenda, Michael ^b   Weidenholzer, Guenther ^c   Silber, Siegfried ^a,c   Kronberger, Gabriel ^b   Affenzeller, Michael ^b   Amrhein, Wolfgang ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA   (Austria)

^c LINZ CENTER OF MECHATRONICS GMBH   (Austria)

Author keywords

artifical neural network; Brushless machine; cogging torque; field oriented control; genetic programming; modeling; permanent magnet; random forests; symbolic regression; torque ripple

Indexed keywords

AC MOTORS; DECISION TREES; GENETIC ALGORITHMS; GENETIC PROGRAMMING; MODELS; NEURAL NETWORKS; PERMANENT MAGNETS; REGRESSION ANALYSIS; SYNCHRONOUS MACHINERY;

ARTIFICAL NEURAL NETWORKS; BRUSHLESS MACHINES; COGGING TORQUE; FIELD ORIENTED CONTROL; RANDOM FORESTS; SYMBOLIC REGRESSION; TORQUE RIPPLES;

ROTORS (WINDINGS);

EID: 84902352129     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2014.2303785     Document Type: Article

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