Advanced Control Systems for Electric Drives

• Other Authors: Merabet, Adel (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering & technology; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

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.

Physical Description

1 electronic resource (342 p.)

ISBN

books978-3-03943-700-9
9783039436996
9783039437009

Access

Open Access