Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/7278
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dc.contributor.authorVelmurugan, P.-
dc.contributor.authorPrabhu, V. Vasan-
dc.contributor.authorSridharan, S.-
dc.contributor.authorPradeep, Jayarama-
dc.date.accessioned2025-02-25T11:00:53Z-
dc.date.available2025-02-25T11:00:53Z-
dc.date.issued2018-
dc.identifier.citationVelmurugan,P.; Prabhu,V. Vasan; Sridharan,S.; Pradeep, Jayarama. Sensorless operation of 8/6 SR machine with the selection of optimum conduction angle based on multi objective particle swarm optimization. Timişoara: Editura Politehnica, 2018.en_US
dc.identifier.issn1582-4594-
dc.identifier.urihttps://dspace.upt.ro/xmlui/handle/123456789/7278-
dc.description.abstractThis paper presents a sensor less scheme to obtain an optimum operating period for each load variation in the 8/6 switched reluctance motor. The drawbacks of using a position sensor in dusty environment are eliminated in this approach. Here, the operating parameters are fed back to the Adaptive Neural Network (ANN) controller. This model is developed efficiently and trained under supervised learning method in which flux-linkage and phase-current are fed as input and rotor position is estimated as output. Multi objective particle swarm optimization (MOPSO) based optimization technique is used in determining the optimum operating angle for the SR machine. The finalized model consist of ANN based position prediction loop, MOPSO based optimum angle selection loop with rigid current controller. The main objective of the model concentrates on maximizing the average torque with minimum torque ripple in the optimized operating region under various loading conditions with removal of position sensor. This system has the advantages of robustness, simple construction, reduced manufacturing cost with the absence of position sensor etc. The simulation is carried out in MATLAB/SIMULINK and Hardware is implemented using dsPIC.en_US
dc.language.isoenen_US
dc.publisherTimișoara : Editura Politehnicaen_US
dc.relation.ispartofseriesJournal of Electrical Engineering;Vol 18 No 3-
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjectSwitched Reluctance Motor (SRM)en_US
dc.subjectMOPSOen_US
dc.subjectSimulationen_US
dc.subjectMATLABen_US
dc.subjectOptimum angleen_US
dc.subjectSensorlessen_US
dc.subjectPosition sensoren_US
dc.subjectdsPICen_US
dc.titleSensorless operation of 8/6 SR machine with the selection of optimum conduction angle based on multi objective particle swarm optimization [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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