Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine
Prakht, Vladimir
Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (300 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-2645-4 9783036526447 9783036526454
10.3390/books978-3-0365-2645-4 doi
Technology: general issues
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 synchronous reluctance motor torque ripple induction motor model predictive sensorless high performance 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 MO-Jaya optimization centrifugal pump energy efficiency parallel pumps throttling variable speed pump 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 direct-on-line permanent magnet synchronous motor direct-on-line synchronous reluctance motor permanent magnet motor reactive power compensation carbon dioxide emissions climate change mitigation electric motors energy conversion energy efficiency class energy policy and regulation energy saving sustainable utilization of resources synchronous motor adaptive control MTPA control parameter variation constraints design mining dump truck traction drive
Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (300 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-2645-4 9783036526447 9783036526454
10.3390/books978-3-0365-2645-4 doi
Technology: general issues
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 synchronous reluctance motor torque ripple induction motor model predictive sensorless high performance 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 MO-Jaya optimization centrifugal pump energy efficiency parallel pumps throttling variable speed pump 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 direct-on-line permanent magnet synchronous motor direct-on-line synchronous reluctance motor permanent magnet motor reactive power compensation carbon dioxide emissions climate change mitigation electric motors energy conversion energy efficiency class energy policy and regulation energy saving sustainable utilization of resources synchronous motor adaptive control MTPA control parameter variation constraints design mining dump truck traction drive