Modelling and optimisation of a set converter - machine. Application to High-Speed Drives

The work presented in this thesis aims at the modelling and optimisation of a set Converter-Machine that is intended to run at high speeds. The first part is a state of the art of the conception methodologies related to the optimal design of drives and investigates the particularities of high speed operations. Then, an analytic and multiphysic modelling of the elements of the system is performed. But, in order to carry out a global optimal conception, the significant interactions between the various elements of the system must be modelled. This is achieved through a precise electrical model – that is the core of the characterization of the interactions – involving an original harmonic approach. From this follows a modelling of the interdependences between inverter and machine in the system losses and in the torque quality. The models are then associated with a genetic algorithm according to a hybrid methodology of conception involving analytical and finite-element models. Finally, this procedure is applied to the design of two drives of which the motor is a PMSM with circumferentially magnetised magnets. These two cases have been successfully handled and clearly show the assets of a “System” approach for the design of drives. In addition, the morphologies of the optimal machines are analysed according to their rotation speed. This analysis highlights some interesting abilities of this kind of machines – in high speed – regarding the magnetic and mechanical behaviours, and the rotor losses.

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Source https://theses.hal.science/tel-00565693
Author Jannot, Xavier
Maintainer CCSD
Last Updated May 10, 2026, 12:17 (UTC)
Created May 10, 2026, 12:17 (UTC)
Identifier NNT: 2010SUPL0004
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Supélec Sciences des Systèmes (E3S) ; Ecole Supérieure d'Electricité - SUPELEC (FRANCE)
creator Jannot, Xavier
date 2010-12-02T00:00:00
harvest_object_id 530b82b3-56ad-45a1-b19a-05ce4a717054
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE