Indirect Efficiency Measurement Method for Line-Start Permanent Magnet Synchronous Motors

Vadim Kazakbaev, Aleksey Paramonov, Vladimir Dmitrievskii, Vladimir Prakht and Victor Goman
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Vadim Kazakbaev: Department of Electrical Engineering, Ural Federal University, 620002 Yekaterinburg, Russia
Aleksey Paramonov: Department of Electrical Engineering, Ural Federal University, 620002 Yekaterinburg, Russia
Vladimir Dmitrievskii: Department of Electrical Engineering, Ural Federal University, 620002 Yekaterinburg, Russia
Vladimir Prakht: Department of Electrical Engineering, Ural Federal University, 620002 Yekaterinburg, Russia
Victor Goman: Nizhniy Tagil Technological Institute, Ural Federal University, 622000 Nizhniy Tagil, Russia

Mathematics, 2022, vol. 10, issue 7, 1-14

Abstract: Despite the great potential and the high performance of energy-efficient line-start permanent magnet synchronous motors (LSPMSMs), their developers face a great deal of difficulties, one of which is the lack of reliable and accurate testing methods for such electrical machines. In this paper, we propose a new method for indirectly determining the efficiency of LSPMSM through the summation of individual loss components. The standard input-output method usually used for these machines is based on torque measurement, requires expensive measuring equipment, and, as a rule, has great uncertainty. Contrarily, the proposed method does not require direct measurement of torque and mechanical power on the shaft and is less sensitive to measurement uncertainties. The theoretical substantiation of the proposed method and its experimental verification using a commercially available four-pole LSPMSM with a rated power of 0.55 kW are presented. Satisfactory convergence of the experimental results obtained using the standard input-output method and using the proposed indirect method is shown.

Keywords: indirect method; input-output method; line-start permanent magnet synchronous motor; loss separation; motor efficiency measurement; no-load test (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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