Review of Linear Motor Topologies with Passive Secondaries and a Comparison to an Active Secondary Topology
Autor: | Elena A. Lomonova, M. Kleijer, C. H. H. M. Custers |
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Přispěvatelé: | Electromechanics and Power Electronics, EIRES System Integration, EAISI Foundational, Electromechanics Lab |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
010302 applied physics
Computer science 020208 electrical & electronic engineering Ripple Finite Element Analysis Volume (computing) Topology (electrical circuits) 02 engineering and technology Linear motor Topology Network topology 01 natural sciences Finite element method Performance comparison 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Linear Flux-switching Machine SDG 7 - Affordable and Clean Energy Linear Synchronous Machine SDG 7 – Betaalbare en schone energie |
Zdroj: | EVER 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 |
DOI: | 10.1109/ever48776.2020.9243126 |
Popis: | This paper presents a literature overview of different linear motor topologies utilizing a passive secondary that can be considered for long stroke applications. Based on this review the Linear Flux-switching Machine is selected for further investigation: the disadvantages and the possible solutions proposed in literature are discussed. Furthermore, Finite Element Method models are created of the Linear Flux-switching Machine, together with the enhancements, for validation purposes. Based on the simulation results, it is concluded that the improvements of the Linear Flux-switching Machine reduce the force ripple by 77.9 % and the attraction force by 91.6 %. Finally, a performance comparison is made with a Linear Permanent Magnet Synchronous Machine utilizing an active secondary, which is selected as benchmark topology. The comparison demonstrates that the Linear Flux-switching Machine provides a cost-efficient alternative for long stroke applications where the design volume is not restricted. |
Databáze: | OpenAIRE |
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