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access icon openaccess FEM-coupled simulations and genetic algorithm model applied to reduce the torque ripple of a 2-phase SR motor drive

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 20/06/2018, Accepted 27/07/2018, Published 22/01/2019

In order to reduce the torque ripple of SR motor drive, this work proposes a new methodology based on the converter, controller, and motor modelling, associated with a genetic algorithm optimisation model which uses the electromagnetic vibration data to calculate the best firing angles for the inverter power switches. To implement the power electronic motor drive model and the optimisation procedure, it was used, respectively, with coupled FEM simulations resources and a MATLAB Script. In this work, they were tested with two inverter commutation strategies whose values were validated through the comparison with the experimental results. The simulated and experimental values converge in the same direction, validating the proposed methodology.

Inspec keywords: finite element analysis; power convertors; motor drives; machine theory; commutation; machine control; invertors; reluctance motor drives; genetic algorithms; torque control

Other keywords: power electronic motor drive model; 2-phase SR motor drive; coupled FEM simulations resources; inverter commutation strategies whose values; firing angles; genetic algorithm optimisation model; inverter power switches; genetic algorithm model; motor modelling; FEM-coupled simulations; simulated values; electromagnetic vibration data; experimental values; torque ripple; optimisation procedure

Subjects: Mechanical variables control; Synchronous machines; Optimisation techniques; Power convertors and power supplies to apparatus; Control of electric power systems; Drives

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http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8007
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