PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



Advanced electric drives: modeling, design, and implementation

01HMCRV

A.A. 2022/23

Course Language

Inglese

Degree programme(s)

Doctorate Research in Ingegneria Elettrica, Elettronica E Delle Comunicazioni - Torino

Course structure
Teaching Hours
Lezioni 30
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Rubino Sandro   Ricercatore a tempo det. L.240/10 art.24-B IIND-08/A 30 0 0 0 2
Co-lectures
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
This course aims to provide advanced knowledge for modeling, designing, and implementing high-performance electric drives. Ac three-phase motors are considered, focusing on the main typologies used in transport electrification (e.g., hybrid and electric vehicles). The course is organized as follows. An in-deep review of the dynamic models of ac motors and power electronics inverters is first introduced. Secondly, the test procedures for the accurate magnetic model identification of ac motors, i.e., flux and torque maps, are described, including their practice implementation in MATLAB/Simulink environment. Moreover, advanced data elaboration algorithms for the evaluation of the motor's performance in terms of maximum torque per ampere (MTPA), maximum torque per volt (MTPV), and maximum torque per speed (MTPS) are illustrated. Finally, the course focuses on designing and implementing high-performance torque controllers for ac motors. Torque control structures recently introduced in the literature for traction motors are considered, e.g., the LUT-based field-oriented control (FOC). Besides, special attention is paid to unified torque controllers like the PWM-based direct torque control (DTC), direct flux vector control (DFVC), and the most recent flux polar control (FPC).
This course aims to provide advanced knowledge for modeling, designing, and implementing high-performance electric drives. Ac three-phase motors are considered, focusing on the main typologies used in transport electrification (e.g., hybrid and electric vehicles). The course is organized as follows. An in-deep review of the dynamic models of ac motors and power electronics inverters is first introduced. Secondly, the test procedures for the accurate magnetic model identification of ac motors, i.e., flux and torque maps, are described, including their practice implementation in MATLAB/Simulink environment. Moreover, advanced data elaboration algorithms for the evaluation of the motor's performance in terms of maximum torque per ampere (MTPA), maximum torque per volt (MTPV), and maximum torque per speed (MTPS) are illustrated. Finally, the course focuses on designing and implementing high-performance torque controllers for ac motors. Torque control structures recently introduced in the literature for traction motors are considered, e.g., the LUT-based field-oriented control (FOC). Besides, special attention is paid to unified torque controllers like the PWM-based direct torque control (DTC), direct flux vector control (DFVC), and the most recent flux polar control (FPC).
Basic knowledge of MATLAB/Simulink environment Fundamentals of electric machines and drives
Basic knowledge of MATLAB/Simulink environment Fundamentals of electric machines and drives
- Modeling of ac motors (4h): magnetic saturation (apparent and differential inductances), flux and torque maps, space-state equations in generic coordinates, losses models - Modeling of 2-level inverters (4h): overview of modulation techniques, waveforms quality, switching loss functions, PWM nonlinearities (dead-time, minimum pulse width), overmodulation - Identification of ac motors (4h): magnetic model identification procedures, direct- and inverse-flux maps, inductance maps (apparent and differential), voltage-to-current models - Flux- and torque-maps elaboration (4h): evaluation of MTPA-, MTPV-, and MTPS- profiles, computation, and interpolation of torque control maps - Efficiency mapping of ac motors (6h): optimal torque control, design, and implementation of n-dimensional LUT-based FOC schemes - Unified torque controllers for ac motors (8h): stator flux observers, design, and implementation of PWM-based DTC-, DFVC-, and FPC- schemes
- Modeling of ac motors (4h): magnetic saturation (apparent and differential inductances), flux and torque maps, space-state equations in generic coordinates, losses models - Modeling of 2-level inverters (4h): overview of modulation techniques, waveforms quality, switching loss functions, PWM nonlinearities (dead-time, minimum pulse width), overmodulation - Identification of ac motors (4h): magnetic model identification procedures, direct- and inverse-flux maps, inductance maps (apparent and differential), voltage-to-current models - Flux- and torque-maps elaboration (4h): evaluation of MTPA-, MTPV-, and MTPS- profiles, computation, and interpolation of torque control maps - Efficiency mapping of ac motors (6h): optimal torque control, design, and implementation of n-dimensional LUT-based FOC schemes - Unified torque controllers for ac motors (8h): stator flux observers, design, and implementation of PWM-based DTC-, DFVC-, and FPC- schemes
In presenza
On site
Presentazione orale
Oral presentation
P.D.2-2 - Settembre
P.D.2-2 - September