Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine

doi:10.3390/books978-3-0365-2645-4

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Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine

Edited by

December 2021

300 pages

ISBN978-3-0365-2644-7 (Hardback)
ISBN978-3-0365-2645-4 (PDF)

https://doi.org/10.3390/books978-3-0365-2645-4

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This book is a reprint of the Special Issue Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine that was published in

Computer Science & Mathematics

Engineering

Physical Sciences

Public Health & Healthcare

Summary

Optimal performance of the electric machine/drive system is mandatory to improve the energy consumption and reliability. To achieve this goal, mathematical models of the electric machine/drive system are necessary. Hence, this motivated the editors to instigate the Special Issue “Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine”, aiming to collect novel publications that push the state-of-the art towards optimal performance for the electric machine/drive system. Seventeen papers have been published in this Special Issue. The published papers focus on several aspects of the electric machine/drive system with respect to the mathematical modelling. Novel optimization methods, control approaches, and comparative analysis for electric drive system based on various electric machines were discussed in the published papers.

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Keywords

demagnetization; electric machine; flux reversal machine; high-speed electrical machine; high-speed electrical motor; Nelder–Mead method; optimal design; switched reluctance motor; direct instantaneous torque control; numerical analysis; optimization; current angle; design of electric motors; flux-barriers; optimization; synchronous reluctance motor; torque ripple; induction motor; model predictive; sensorless; high performance; optimal design; switched reluctance machine; NSGA-II optimization; finite element analysis; direct-drive; electric machine analysis computing; interior permanent magnet machine; mathematical model; optimal-design; permanent magnet flux-switching machine; wind generator; doubly fed induction generator; DC-link voltage regulation; second-order sliding mode control; extended state observer; fuzzy gain scheduling; advanced metaheuristics; optimal design; switched reluctance machine; MO-Jaya optimization; finite element analysis; centrifugal pump; energy efficiency; induction motor; parallel pumps; throttling; variable speed pump; optimal design; Nelder–Mead method; synchronous homopolar machine; synchronous homopolar motor; traction drives; traction motor; high-harmonic injection; brushless field excitation; wound field synchronous machines; Axial flux permanent magnet machine; 3D FEA; Genetic algorithm; hexagonal-shaped PMs; PM overhang; brushless topology; third harmonic flux; dc offset; wound field synchronous machines; centrifugal pump; direct-on-line permanent magnet synchronous motor; direct-on-line synchronous reluctance motor; energy efficiency; induction motor; permanent magnet motor; reactive power compensation; carbon dioxide emissions; climate change mitigation; electric motors; energy conversion; energy efficiency; energy efficiency class; energy policy and regulation; energy saving; sustainable utilization of resources; synchronous motor; adaptive control; MTPA control; parameter variation; constraints design; Nelder–Mead method; mining dump truck; optimal design; synchronous homopolar motor; traction drive