Artificial neural networks based models for the multiply excited Switched Reluctance Motor

Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

Volumn 2, Issue , 2001, Pages 1109-1115

  Ramamurthy, S S ^a   Schupbach, R M ^a   Balda, J C ^a  

^a 3202 Bell Engineering Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FEEDFORWARD NEURAL NETWORKS; MAGNETIC FLUX; PARAMETER ESTIMATION; REAL TIME SYSTEMS; SWITCHING CIRCUITS; TORQUE;

MAGNETIC FLUX INTERACTIONS;

RELUCTANCE MOTORS;

EID: 0035054753     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Short flux paths optimize the efficiency of a 5-phase Switched Reluctance Drive
2. A new approach to model Switched Reluctance Motor drive; application to dynamic performance prediction, control and design
3. Modelling and design of switched reluctance motors with two phases simultaneously excited
4. Implementation of neural networks to aid Switched Reluctance Motor Control on the TMS320C6701