Affiliation:
1. Institute of Fundamentals and Theory in Electrical Engineering, Graz University of Technology, Inffeldgasse 18, 8010 Graz, Austria
Abstract
The aim of this work is to optimize the sensor positions of a sensor–actuator measurement system for identifying local variations in the magnetic permeability of cut steel sheets. Before solving the actual identification problem, i.e., finding the material distribution, the sensor placement of the measurement setup should be improved in order to reduce the uncertainty of the identification of the material distribution. The Fisher information matrix (FIM), which allows one to quantify the amount of information that the measurements carry about the unknown parameters, is used as the main metric for the objective function of this design optimization. The forward problem is solved by the finite element method. The results show that the proposed method is able to find optimal sensor positions as well as the minimum number of sensors to achieve a desired maximum parameter uncertainty.
Reference22 articles.
1. Analysis and design of electrical machines with material uncertainties in iron and permanent magnet;Li;COMPEL Int. J. Comput. Math. Electr. Electron. Eng.,2017
2. Influence of the manufacturing process on the magnetic properties of non-oriented electrical steels;Schoppa;J. Magn. Magn. Mater.,2000
3. Magnetic Properties of Electrical Steel Sheets in Respect of Cutting: Micromagnetic Analysis and Macromagnetic Modeling;Hofmann;IEEE Trans. Magn.,2016
4. Sundaria, R., Hemeida, A., Arkkio, A., Daem, A., Sergeant, P., and Belahcen, A. (2019, January 14–17). Effect of Different Cutting Techniques on Magnetic Properties of Grain Oriented Steel Sheets and Axial Flux Machines. Proceedings of the IECON 2019—45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal.
5. Effect of Laser Cutting on Core Losses in Electrical Machines—Measurements and Modeling;Sundaria;IEEE Trans. Ind. Electron.,2020