Modeling and output tracking of transverse flux permanent magnet machines using high gain observer and RBF Neural network

ISA Transactions

Volumn 44, Issue 4, 2005, Pages 445-456

  Karimi, H R ^a,b   Babazadeh, A ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF BREMEN   (Germany)

Author keywords

High gain observer; Output tracking; RBF neural network; Transverse flux permanent magnet machine

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTATIONAL METHODS; FEEDBACK; LINEARIZATION; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; RADIAL BASIS FUNCTION NETWORKS;

HIGH GAIN OBSERVER; OUTPUT TRACKING; RBF NEURAL NETWORK; TRANSVERSE FLUX PERMANENT MAGNET MACHINE;

PERMANENT MAGNETS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER AIDED DESIGN; COMPUTER SIMULATION; EQUIPMENT; EQUIPMENT DESIGN; EVALUATION; FEEDBACK SYSTEM; INSTRUMENTATION; MAGNETISM; MOTION; SYSTEMS THEORY; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; COMPUTER-AIDED DESIGN; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEEDBACK; MAGNETICS; MODELS, THEORETICAL; MOTION; NEURAL NETWORKS (COMPUTER); SYSTEMS THEORY;

EID: 27644507958     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0019-0578(07)60052-4     Document Type: Article

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