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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.

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 --- 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

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In recent years, power electronics have been intensely contributing to the development and evolution of new structures for the processing of energy. They can be used in a wide range of applications ranging from power systems and electrical machines to electric vehicles and robot arm drives. In conjunction with the evolution of microprocessors and advanced control theories, power electronics are playing an increasingly essential role in our society. Thus, in order to cope with the obstacles lying ahead, this book presents a collection of original studies and modeling methods which were developed and published in the field of electrical energy conditioning and control by using circuits and electronic devices, with an emphasis on power applications and industrial control. Researchers have contributed 19 selected and peer-reviewed papers covering a wide range of topics by addressing a wide variety of themes, such as motor drives, AC–DC and DC–DC converters, multilevel converters, varistors, and electromagnetic compatibility, among others. The overall result is a book that represents a cohesive collection of inter-/multidisciplinary works regarding the industrial applications of power electronics.

History of engineering & technology --- Energy industries & utilities --- failure mode --- impulse current --- microstructure --- multiple lightning --- ZnO varistors --- multilevel matrix converter --- rotating voltage space vector --- common move voltage --- space vector pulse width modulation --- venturini control method --- electric vehicle --- electromagnetic compatibility --- electromagnetic topology --- radiated emission --- nonlinear effects --- three-level neutral-point clamped inverter --- induction motor --- speed observation --- compensation --- impedance-source inverter --- shoot-through --- dc-dc converter --- dc-ac converter --- DC-DC power converter --- Takagi–Sugeno fuzzy system --- hierarchical binary tree --- circuit breaker --- fault current limiter --- current source circuit --- voltage clamping --- constant current control --- frequency domain electromagnetic --- weighted factor --- model predictive flux control --- interior permanent magnet synchronous --- discrete space vector modulation --- microgrid protection --- power quality --- fault current --- H bridge --- look-up table --- interpolation error --- PMSM drive --- circulating current control --- modular multilevel converter (MMC) --- static synchronous compensator (STATCOM) --- asymmetric --- capacitors --- multilevel inverter --- power electronics --- self-charging --- virtual DC links --- full-bridge converter --- phase shift modulation --- supercapacitors --- isolated DC-DC bidirectional converter --- electrostatic discharge (ESD) --- elliptical-cylinder type --- human-body model (HBM) --- n-channel lateral-diffused MOSFET (nLDMOS) --- super-junction (SJ) --- ultra high-voltage (UHV) --- aging characteristics --- energy absorption --- boost inverter --- single source --- low components --- PMBLDC motor --- fuzzy-logic controller design --- common mode inverters --- photovoltaic --- leakage current elimination --- pulse width modulation --- power converters --- electrical machines --- power grid stability analysis --- inverters --- power supplies --- multilevel converters --- motor drives --- power semiconductor devices --- Tara / Neutral Junction (Central NT SF53-06)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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