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Soft Starting of Induction Motors (Paperback)
Loot Price: R1,313
Discovery Miles 13 130
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Soft Starting of Induction Motors (Paperback)
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Starting inrush current and pulsations in the inducedtorque affect
the performance of an induction motor.Artificial neural networks
(ANNs) and adaptive neurofuzzy inference system (ANFIS) can enhance
theperformance of the motor by making a control systemwhich would
provide smooth starting to inductionmotor. Dynamic model of
induction machine indifferent frames of reference was implemented
usingMatlab Simulink. Feed forward back propagation basedand radial
basis neural networks were trained, withdata obtained using
simulations, to estimatedifferent parameters required by ANFIS to
adjustfiring angle of back-to-back connected pairs ofthyristors in
AC voltage controller. Inrush currentand pulsations in torque were
reduced significantly.Radial basis and feed forward neural networks
werecompared for off-line and on-line training, trainingtime,
memory required for implementations, number ofneurons,
computational procedures and algorithms, reliability of the system
and most important cost ofimplementation. Artificial neural
networks andAdaptive neuro fuzzy inference system were
developedusing tool boxes in Matlab Simulink
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