Fast Torque Computation of Hysteresis Motors and Clutches Using Magneto-static Finite Element Simulation

Gianvito Gallicchio, Marco Palmieri, Mauro Di Nardo and Francesco Cupertino
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Gianvito Gallicchio: Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy
Marco Palmieri: Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy
Mauro Di Nardo: Power Electronics and Machine Control Group, University of Nottingham, Nottingham NG7 2RD, UK
Francesco Cupertino: Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy

Energies, 2019, vol. 12, issue 17, 1-14

Abstract: Hysteresis motor and clutches have several advantages, such as constant torque from zero to synchronous speed, low torque ripple, and low fabrication cost. Low efficiency and power factor are the main features that have limited the application of this type of electrical machine to few applications. Being a niche argument, little literature has addressed the problem of analytical and finite element (FE) modelling of hysteresis electrical machines. This paper first describes the most important contributions of the literature on the analytical and FE modelling of hysteresis motors and clutches and then proposes a method for the fast computation of its performance. The proposed procedure consists of two steps: first, a magneto-static FE simulation is performed considering the normal magnetization curve of the hysteresis material; then, the average torque is computed by a post-processing analysis. The proposed method is used to analyze a hysteresis clutch and the obtained results are compared with those achieved using a commercial finite element software that implements a vector hysteresis model.

Keywords: hysteresis motor; hysteresis clutch; finite element analysis (FEA); numerical models; torque computation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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