@inproceedings{1adf5913a0584344b166a8714880dbca,
title = "Permanent magnet motor design optimisation for sensorless control",
abstract = "This paper looks at a novel optimisation approach to the design of surface mounted permanent magnet (SMPM) machines with self-sensing capabilities. A methodology will be presented which will look at the use of genetic algorithms (GA) to contemporarily maximise the output torque and the self sensing properties of such machines. A GA optimisation environment has been grafted with a finite element analysis (FEA) environment to enable the designer to account for both geometrical and saturation saliencies for an effective determination of the machine's self sensing characteristics. Satisfactory results were obtained in terms of torque maximization and self sensing capability. In addition sensitivity of the major geometrical parameters of the machine will be discussed in terms torque density and the self-sensing.",
author = "Murat Caner and Chris Gerada and Greg Asher",
year = "2011",
doi = "10.1109/ACEMP.2011.6490680",
language = "English",
isbn = "9781467350037",
series = "International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2011 and Electromotion 2011 Joint Conference",
publisher = "IEEE Computer Society",
pages = "670--675",
booktitle = "International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2011 and Electromotion 2011 Joint Conference",
address = "United States",
note = "2011 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2011 and Electromotion 2011 Joint Conference ; Conference date: 08-09-2011 Through 10-09-2011",
}