Degree Name

Doctor of Philosophy


School of Electrical, Computer and Telecommunications Engineering


This thesis is essentially divided into three major sections. The first section involves the development of a model of the Synchronous Reluctance Machine (SyncRM) that enables the estimation of fluxes and flux densities in various parts of the motor. The technique develops a model that recognises the zigzag nature of the rotor flux. T h e results obtained from the analytical modelling are compared to those obtained from a finite element analysis of the same machine.

The second section develops a new sensorless position estimation algorithm. It is based on a parameter independent statistical method. The technique makes use of the observation that the current changes are statistically more likely to be higher in the q-axis rather than the d-axis of the SyncRM. The parameter independence is demonstrated by a detailed simulation which uses a design that has a very low saliency and is still able to produce quality results. The principle is proven using the detailed simulation. The algorithm is extended to produce a speed estimation signal by the use of a modified zero crossing algorithm.

The third section of the thesis involves verification of the sensorless algorithms developed. A 22-kW, 6 pole, axially laminated S y n c R M and an inverter system is used to verify the new sensorless techniques. Extensive experimental results are presented that confirm the excellent performance of the algorithms.



Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.