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

• Autore: Prakht Vladimir
• Pubblicazione: 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
• Persona (resp. second.): IbrahimMohamed N; AnuchinAleksey S; PrakhtVladimir
• Sommario/riassunto: 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.
• Titolo autorizzato: Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557443203321
• Lo trovi qui: Univ. Federico II