Advanced Control Systems for Electric Drives

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 applic...

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Idioma:inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2021
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collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-69396
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-693962024-04-11T15:10:34Z Advanced Control Systems for Electric Drives Merabet, Adel 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-05-01T15:48:40Z 2021-05-01T15:48:40Z 2020 book ONIX_20210501_9783039436996_1142 9783039436996 9783039437009 https://directory.doabooks.org/handle/20.500.12854/69396 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3189 https://mdpi.com/books/pdfview/book/3189 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-700-9 10.3390/books978-3-03943-700-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039436996 9783039437009 342 Basel, Switzerland open access
spellingShingle 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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Advanced Control Systems for Electric Drives
title Advanced Control Systems for Electric Drives
title_full Advanced Control Systems for Electric Drives
title_fullStr Advanced Control Systems for Electric Drives
title_full_unstemmed Advanced Control Systems for Electric Drives
title_short Advanced Control Systems for Electric Drives
title_sort advanced control systems for electric drives
topic 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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet 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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url ONIX_20210501_9783039436996_1142