Design of High-Performance Permanent Magnet Synchronous Motor for All-Electric Aircraft Propulsion System Using TOPSIS Method

Abstract

In order to achieve high performance, a novel method is proposed in this paper. It involves solving an optimization problem by reducing the energy consumption of an aircraft in determining the optimum production positions of the an "electric aircraft propulsion system" during the climb and cruise phases. The embarkation and embarking phases must be successful given the limitations. The suggested approach is used to design the propulsion system of a specific two-seat electric aircraft for testing reasons. Over the past ten years, "electric and hybrid electric propulsion" for aero planes has drawn a lot of attention. Although studies have increasingly shown the possibilities for overall gains in fuel efficiency or missions’ fluidity of new aircraft types, the primary driving for industrial interest has been to minimize emission from combustion exhaust gasses and noise. This research examines a hypothetical new kind of base jumper lift mission aircraft. The possibility of electric hybridization for this purpose is examined in comparison to traditional conventional propulsion systems. The TOPSIS method uses comparing the best solution to establish order preference. It's one of the numbers of co choice (MCDM) methods that is now use most. The TOPSIS approach was primarily created to work with data that only had real values. Since it might be challenging to produce accurate estimation of alternatives with regard to local criteria in many situations, these estimations are frequently regarded as gaps. The TOPSIS method has been extended for intervals in a few studies, although these developments are based on various heuristic methods for defining adaptive and maladaptive optimal solutions. True values or ranges that cannot be reached in the matrix provide these ideal answers. In this research, we offer a new direct way to interval expansion of a TOPSIS method that is free of heuristics assumptions and constraints of existing approaches because this is in conflict with the basics of the original TOPSIS method.