Advanced Control Systems for Electric Drives

Edited by
December 2020
342 pages
  • ISBN978-3-03943-699-6 (Hardback)
  • ISBN978-3-03943-700-9 (PDF)

This book is a reprint of the Special Issue Advanced Control Systems for Electric Drives that was published in

Computer Science & Mathematics
Physical Sciences
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.
  • Hardback
License and Copyright
© 2021 by the authors; CC BY-NC-ND license
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; current control; 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; permanent magnet synchronous motor; permanent magnet synchronous 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; permanent magnet synchronous motor; 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; permanent magnet synchronous motor; electromechanical coupling; harmonic torque reduction strategy; quantized; nonlinear systems; time delay; lyapunov approach; real-time implementation; permanent magnet synchronous motor; sliding mode observer; sensorless control; neural fuzzy controller; I-f control strategy; permanent magnet synchronous motor; fractional order control; synergetic control; sliding mode control; motor drives; advanced control; power converters; estimation; sensor; artificial intelligence