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Advanced Control Systems for Electric Drives
| Advanced Control Systems for Electric Drives |
| Autore | Merabet Adel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (342 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
PMSM drive
current control deadbeat predictive control equivalent input disturbance BSAII Euclidean distance energy management E-REV overhead transmission line UAV inspection safe distance multi-source data fusion adaptive threshold permanent magnet synchronous motor second-order sliding mode control cascade control robustness PMSM model predictive control parameter identification hybrid electric vehicles (HEVs) mode transition adaptive sliding mode control (A-SMC) clutch actuator PI observer fractional order proportional-integral-differential (FOPID) indirect vector control position control of motor induction motor sensorless control sliding mode observer RBFNN-based self-tuning PID controller I-f startup strategy PMLSM position sensorless control high-frequency square-wave voltage injection FIR filter maglev train automotive electric powertrain rotor position sensor resolver inductive position sensor eddy current position sensor Hall sensor magnetoresistive position sensor Hall sensors brushless direct current motor drive system power electronics industrial application integrated electric drive system electromechanical coupling harmonic torque reduction strategy quantized nonlinear systems time delay lyapunov approach real-time implementation neural fuzzy controller I-f control strategy fractional order control synergetic control sliding mode control motor drives advanced control power converters estimation sensor artificial intelligence |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557102803321 |
Merabet Adel
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 electronic resource (300 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557443203321 |
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Prakht Vladimir
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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