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 | ING-IND/32 | 30 | 0 | 0 | 0 | 1 |

Co-lectuers

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

© Politecnico di Torino

Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY

Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY