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Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine
Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine
Autore Prakht Vladimir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (300 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 3D FEA
adaptive control
advanced metaheuristics
Axial flux permanent magnet machine
brushless field excitation
brushless topology
carbon dioxide emissions
centrifugal pump
climate change mitigation
constraints design
current angle
dc offset
DC-link voltage regulation
demagnetization
design of electric motors
direct instantaneous torque control
direct-drive
direct-on-line permanent magnet synchronous motor
direct-on-line synchronous reluctance motor
doubly fed induction generator
electric machine
electric machine analysis computing
electric motors
energy conversion
energy efficiency
energy efficiency class
energy policy and regulation
energy saving
extended state observer
finite element analysis
flux reversal machine
flux-barriers
fuzzy gain scheduling
Genetic algorithm
hexagonal-shaped PMs
high performance
high-harmonic injection
high-speed electrical machine
high-speed electrical motor
induction motor
interior permanent magnet machine
mathematical model
mining dump truck
MO-Jaya optimization
model predictive
MTPA control
Nelder-Mead method
NSGA-II optimization
numerical analysis
optimal design
optimal-design
optimization
parallel pumps
parameter variation
permanent magnet flux-switching machine
permanent magnet motor
PM overhang
reactive power compensation
second-order sliding mode control
sensorless
sustainable utilization of resources
switched reluctance machine
switched reluctance motor
synchronous homopolar machine
synchronous homopolar motor
synchronous motor
synchronous reluctance motor
third harmonic flux
throttling
torque ripple
traction drive
traction drives
traction motor
variable speed pump
wind generator
wound field synchronous machines
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557443203321
Prakht Vladimir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mathematical Models for the Design of Electrical Machines
Mathematical Models for the Design of Electrical Machines
Autore Dubas Frédéric
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (252 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 2D
2D steady-state models
3D finite element method
analytical expression
analytical method
analytical model
analytical modeling
complex harmonic modeling
eddy-current
eddy-current losses
electric machines
electrical machines
electromagnetic performances
experiment
finite iron relative permeability
finite-element analysis
Fourier analysis
high-speed
hybrid analytical modeling
hybrid excitation
hybrid model
linear induction motors
loss reduction
magnet shape optimization
magnetic equivalent circuit
magnetic equivalent circuits
Maxwell-Fourier method
multi-phase
multiphase induction machine
n/a
nodal method
non-homogeneous permeability
numerical
partial differential equations
permanent magnet machines
permanent magnet motor
permanent-magnet
permanent-magnet losses
reduced order
rotating machines
rotor cage
scattering matrix
segmentation
separation of variable technique
sinusoidal current excitation
sleeve
subdomain technique
surface inset permanent magnet
surface-mounted PM machines
switched reluctance machine
synchronous machines
thermal analysis
thermal equivalence circuit
thermal resistances
torque pulsation
torque pulsations
Voronoï tessellation
winding heads
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557647103321
Dubas Frédéric  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui