Advanced Control Systems for Electric Drives

• Autore: Merabet Adel
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (342 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: adaptive sliding mode control (A-SMC); adaptive threshold; advanced control; artificial intelligence; automotive electric powertrain; brushless direct current motor drive system; BSAII; cascade control; clutch actuator; current control; deadbeat predictive control; E-REV; eddy current position sensor; electromechanical coupling; energy management; equivalent input disturbance; estimation; Euclidean distance; FIR filter; fractional order control; fractional order proportional-integral-differential (FOPID); Hall sensor; Hall sensors; harmonic torque reduction strategy; high-frequency square-wave voltage injection; hybrid electric vehicles (HEVs); I-f control strategy; I-f startup strategy; indirect vector control; induction motor; inductive position sensor; industrial application; integrated electric drive system; lyapunov approach; maglev train; magnetoresistive position sensor; mode transition; model predictive control; motor drives; multi-source data fusion; neural fuzzy controller; nonlinear systems; overhead transmission line; parameter identification; permanent magnet synchronous motor; PI observer; PMLSM; PMSM; PMSM drive; position control of motor; position sensorless control; power converters; power electronics; quantized; RBFNN-based self-tuning PID controller; real-time implementation; resolver; robustness; rotor position sensor; safe distance; second-order sliding mode control; sensor; sensorless control; sliding mode control; sliding mode observer; synergetic control; time delay; UAV inspection
• Persona (resp. second.): MerabetAdel
• Sommario/riassunto: This book provides extensive information about advanced control techniques in electric drives. Multiple control and estimation methods are studied for position and speed tracking in different drives. Artificial intelligence tools, such as fuzzy logic and neural networks, are used for specific applications using electric drives.
• Titolo autorizzato: Advanced Control Systems for Electric Drives
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557102803321
• Lo trovi qui: Univ. Federico II