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Sensorless operation of 8/6 SR machine with the selection of optimum conduction angle based on multi objective particle swarm optimization [articol]

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dc.contributor.author Velmurugan, P.
dc.contributor.author Prabhu, V. Vasan
dc.contributor.author Sridharan, S.
dc.contributor.author Pradeep, Jayarama
dc.date.accessioned 2025-02-25T11:00:53Z
dc.date.available 2025-02-25T11:00:53Z
dc.date.issued 2018
dc.identifier.citation Velmurugan,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.issn 1582-4594
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/7278
dc.description.abstract This 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.iso en en_US
dc.publisher Timișoara : Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 18 No 3
dc.subject Artificial Neural Networks (ANN) en_US
dc.subject Switched Reluctance Motor (SRM) en_US
dc.subject MOPSO en_US
dc.subject Simulation en_US
dc.subject MATLAB en_US
dc.subject Optimum angle en_US
dc.subject Sensorless en_US
dc.subject Position sensor en_US
dc.subject dsPIC en_US
dc.title Sensorless operation of 8/6 SR machine with the selection of optimum conduction angle based on multi objective particle swarm optimization [articol] en_US
dc.type Article en_US


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