Modeling torque in a switched reluctance motor for adaptive control purposes using self-organizing neural networks

Proceedings of the 1st IEEE Conference on Control Applications, CCA 1992

Volumn , Issue , 1992, Pages 944-949

  Garside, Jeffrey J ^a   Brown, Ronald H ^a   Ruchti, Timothy L ^a   Feng, Xin ^a  

^a MARQUETTE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC MACHINE CONTROL; ELECTRIC MACHINE THEORY; LOCKS (FASTENERS); MAPPING; MESH NETWORKING; NEURAL NETWORKS; RELUCTANCE MOTORS; TOPOLOGY;

DIMENSIONAL SYSTEMS; HIGH PERFORMANCE APPLICATIONS; KOHONEN NEURAL NETWORKS; NONLINEAR FUNCTIONS; SELF-ORGANIZING NEURAL NETWORK; SWITCHED RELUCTANCE MOTOR; TOPOLOGY PRESERVING; TRAINING TECHNIQUES;

ADAPTIVE CONTROL SYSTEMS;

EID: 85009322697     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCA.1992.269794     Document Type: Conference Paper

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