Analytical model for slotted stator brushless surface inset permanent magnet machines using virtual current theory. Issue 14 (19th February 2021)

• Record Type: Journal Article
• Authors: Faradonbeh, Vahid Zamani; Rahideh, Akbar; Arab Markadeh, Gholamreza
• Is Part Of: IET electric power applications. Volume 14:Issue 14(2020)
• Page Start: 2750
• Page End: 2761
• Publication Date: 2021-02-19
• Subjects: stators -- rotors -- permanent magnet machines -- magnetic flux -- Laplace equations -- permanent magnet motors -- finite element analysis -- Poisson equation; slotted stator brushless surface inset permanent magnet machines -- virtual current theory -- two‐dimensional analytical model -- air‐gap magnetic flux density -- armature currents -- brushless surface inset PM machines -- stator slots -- rotor grooves -- BSIPM machine -- rotor groove -- stator slot effects -- surface currents -- subdomain analytical model; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2020.0641
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : A two‐dimensional analytical model is presented for predicting the air‐gap magnetic flux density due to the permanent magnet (PM) and armature currents in brushless surface inset PM (BSIPM) machines. The virtual current theory is used to model the effects of the stator slots and rotor grooves. In this approach, the BSIPM machine is initially modelled as a machine without any stator slot and rotor groove, and the rotor groove and stator slot effects are modelled by a set of surface currents. By extracting the governing Laplace and Poisson equations and applying the boundary conditions, the magnetic flux density due to the PM and armature current is obtained in different parts of the machine. The accuracy of the proposed analytical model is confirmed by comparing its results with those of the finite‐element method and experimental results. The proposed model is also compared with the subdomain analytical model in terms of computational speed and accuracy.