Neural network-based adaptive dynamic surface control for permanent magnet synchronous motors

IEEE Transactions on Neural Networks and Learning Systems

Volumn 26, Issue 3, 2015, Pages 640-645

  Yu, Jinpeng ^a   Shi, Peng ^b,c   Dong, Wenjie ^d   Chen, Bing ^a   Lin, Chong ^a  

^a QINGDAO UNIVERSITY   (China)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c VICTORIA UNIVERSITY   (Australia)

^d UNIVERSITY OF TEXAS PAN AMERICAN   (United States)

Author keywords

Backstepping; dynamics surface control (DSC); neural networks (NNs); nonlinear system; permanent magnet synchronous motor (PMSM).

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; BACKSTEPPING; COMPLEX NETWORKS; MAGNETS; NONLINEAR SYSTEMS; SYNCHRONOUS MOTORS;

ADAPTIVE DYNAMIC SURFACES; BACKSTEPPING DESIGN; NEURAL NETWORKS (NNS); NONLINEAR FUNCTIONS; PARAMETER UNCERTAINTY; PERMANENT MAGNET SYNCHRONOUS MOTOR; PERMANENTMAGNET SYNCHRONOUS MOTOR (PMSMS); SURFACE CONTROLS;

PERMANENT MAGNETS;

ARTIFICIAL NEURAL NETWORK; MAGNETISM; PROCEDURES; SYSTEM ANALYSIS; TRENDS;

MAGNETICS; NEURAL NETWORKS (COMPUTER); SYSTEMS ANALYSIS;

EID: 84923868400     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2014.2316289     Document Type: Article

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