POWER ELECTRONICS AND ELECTRICAL DRIVES

POWER ELECTRONICS AND ELECTRICAL DRIVES
2 YEAR 2 semester 9 CFU
Stefano Bifaretti
A.Y. 2021-22
Stefano Bifaretti (7cfu)

Cristina Terlizzi (2cfu)

A.Y. 2022-23 1st Year I semester

A.Y. 2023-24  (NOT HELD)

A.Y. 2024-25

Code: 8039781
SSD: ING-INF/01

LEARNING OUTCOMES:
The Power Electronics and Electrical Drives course aims to provide a basic understanding of the power semiconductors of the main electronic circuits used for the static conversion of electrical energy as well as the electrical drives. The student will acquire the ability to analyse and perform an initial sizing of power electronic converters operating in either direct or alternating current.

KNOWLEDGE AND UNDERSTANDING:
The student will be gradually guided to the knowledge of the functional characteristics and behavior of the main static power converters used, in particular, in industrial applications, in Distributed Generation Systems and in power trains of electical vehicles. In order to improve the topics understanding, the use of Matlab-Simulink specific packages for the simulation of electronic power converters is illustrated.

APPLYING KNOWLEDGE AND UNDERSTANDING:
The knowledge acquired during the course allows the student to select the topology and size of the power converter in relation to the final design.
Different application examples, in particular devoted to distributed energy generation plants, uninterruptible power supplies and electric mobility will allow the student to improve his ability to apply the acquired knowledge.

MAKING JUDGEMENTS:
The student will be able to collect and process specialized technical information on power converters and verify their validity.

COMMUNICATION SKILLS:
The student will be able to relate with power electronics specialists in order to request the technical information necessary for the development of a project activity.

LEARNING SKILLS:
The skills acquired during the course will allow the student to undertake, with a high degree of autonomy, subsequent studies or apply for technical roles in companies working in the field.

 

SYLLABUS:

POWER SEMICONDUCTORS

Power Semiconductors employed in Power Electronics converters: Diodes, BJT, MOSFET, IGBT, Thyristors, Wide Bandgap Semiconductors).

Static and dynamic behavior. Thermal behavior. Conduction and switching losses.

Technical specifications provided by manufacturers’ datasheets. Driving circuits.

POWER CONVERTER TOPOLOGIES

Behavioral characteristics: unidirectional and bidirectional energy transfer, controlled voltage sources. Analysis method of power converters.

DC-DC Converters. Buck, Boost, Buck-Boost. Switching losses reduction. Average Model. Modulation techniques (PWM, PFM, PRM). Output voltage open-loop control. Closed-loop control. Current control.Half and Full Bridge DC-DC converters.

DC-AC Converters (Inverters). Half and Full Bridge DC-AC single-phase converters based on static switches. Three-phase converters. Modulation techniques. Selective Harmonic Elimination (SHE). Sinusoidal Pulse Width Modulation (SPWM).

Rectifiers: Single-phase and three-phase diode rectifiers. Single-phase and three-phase force-commutated PWM rectifiers: topologies, voltage and current controls. Power Factor Corrector (PFC). Effects on grid side of power converters. Generalized power factor. Compliance with grid codes.
Isolated DC-DC converter.

ELECTRICAL DRIVES
Introduction to Electrical Drives. DC, Permanent Magnet Synchronous Motors and Induction Motors. DC motors model.

Power Electronics Applications

Power Converters simulation using Matlab-Simulink/Simpowersystem.
Photovoltaic Conversion Systems.
Power trains for electrical vehicles. Battery chargers.

 

ROBOT MECHANICS

ROBOT MECHANICS

 

1 YEAR (Blocks B|C)
2 YEAR (Blocks A)
1 semester 9 CFU
Marco Ceccarelli (6/9 cfu)

Matteo Russo (3/6 cfu)

A.Y. 2021-22

A.Y. 2022-23

Matteo Russo A. Y. 2023-24
A.Y. 2024-25
Code: 8039785
SSD: ING-IND/13

LEARNING OUTCOMES:

 The aims of the course are related to explaining the modeling and algorithms for the analysis and design of the functioning of robot mechanisms in terms of mechanical performance. The students will learn how to handle the mechanics of robot by acquiring skills in analyzing and design robots for manipulation tasks in industrial and service applications.

KNOWLEDGE AND UNDERSTANDING:

during the course, problems and characteristics of robotic systems structures and operations are presented to increase students’ knowledge and to allow them to understand problems and solutions in the specific area of ​​robotics

APPLYING KNOWLEDGE AND UNDERSTANDING:

Students are required to apply the characteristics and algorithms for the analysis of manipulations and robotizations of specific robotic systems for merit assessments and demonstrate specific presentation and discussion skills of robotics issues.

MAKING JUDGEMENTS:

Students are involved in the presentation of the modeling and in the discussion of the problems to learn to examine in an autonomous and critical way the problems of analysis of robotic systems.

COMMUNICATION SKILLS:

During the course, the students take part in the discussion of the presented topics and at the end of the course present a report of manipulation and robotization analysis of their choice.

LEARNING SKILLS:

During the course, the students are involved in the discussion for a continuous stimulus to verify the learning and presentation of robot mechanics. the learning achieved is also verified in the presentation of the elaboration of manipulation and robotization analysis of their choice

SYLLABUS:

types of robots and industrial and service applications; components, technical characteristics, and evaluation; analysis and evaluation of manipulative movements; types of manipulators; Denavit-Hartenberg’s notation; fundamentals of direct kinematics; workspace analysis, trajectory planning; fundamentals of statics and dynamics: modeling, actions, equilibrium conditions; equation of motion; fundamentals of the regulation and control of the motion; types and functionality of grippers; grasp mechanics: modeling, actions, equilibrium conditions; mobile service robots: structures and operation; parallel architecture robots; service robots for medical applications: structures and operation; preparation of performance analysis reports of a robot.

INTEGRATED SENSORS

INTEGRATED SENSORS
1 YEAR (Block A|C|D|E)
2 YEAR (Block B)
1 semester 9 CFU
Corrado Di Natale A.Y. 2019-20 (new name, ex Electronic Devices and Sensors )

A.Y. 2021-22

Alexandro Catini (6cfu)

Corrado  Di Natale (3cfu)

A.Y. 2022-23

A.Y. 2023-24

Alexandro Catini A.Y. 2024-25
Code: 8039927
SSD: ING-INF/01

LEARNING OUTCOMES:

To introduce the student to modern sensor technologies and their major applications.

KNOWLEDGE AND UNDERSTANDING:

To make the student condition to analyze the sensor performance and to design simple sensors’ interface circuit.

APPLYING KNOWLEDGE AND UNDERSTANDING:

Capability to select sensors for each specific application MAKING JUDGEMENTS:
Evaluate in the different contexts which are the most suitable sensors and evaluate the performance using a standardized parameters set.

COMMUNICATION SKILLS:

Capability to write synthetic reports about the working principles of sensors

LEARNING SKILLS:

To learn how to solve sensors’ circuits to determine their performance and to optimally design sensor systems.

SYLLABUS:

Electronic properties of materials: semiconductors.

General properties of sensors;

Sensitivity and resolution.

Temperature sensors: thermistors, integrated sensors, thermocouples;
Mechanic sensors: Strain gauges: Introduction to MEMS: accelerometer, gyroscope, pressure and flow sensors;

Magnetic sensors;

Optical sensors: photodiodes and image sensors;

infrared sensors; interface circuits for resistive and capacitive sensors