The aim of the course is to describe the electrical machines and the power electronic converters that are potentially used in electrical drives for marine applications. Their models with reference to dynamic operation and related regulation with linear control techniques are also discussed. Students will acquire the skills necessary to face the correct selection of the electrical drives to be used, on the basis of technical specifications and the desired performances.
teacher profile teaching materials
• Introduction to electric drives: definitions, classification, components, objectives, performance, and duty types.
• Review of ideal and non-ideal passive components and semiconductor devices; PN junction, power diodes, thyristors, MOSFETs, and IGBTs.
• Turn-on and turn-off transients; conduction and switching losses.
• Fundamentals of static power conversion: single-phase and three-phase AC/DC converters, DC/DC converters, single-phase and three-phase DC/AC inverters, and NPC multilevel inverters.
• Carrier-based PWM, bipolar and unipolar modulation, dead time, and third-harmonic injection.
• Converter modelling and simulation in MATLAB/Simulink; experimental tests on a diode bridge, a step-down converter, and a three-phase inverter.
Module 2 Electrical machines and marine drives
• Linear systems, transfer functions, frequency response, and industrial P, PI, and PID controllers in the continuous-time and discrete-time domains.
• Review of magnetic circuits, rotating magnetic fields, and the operating principles of electrical machines.
• abc-alpha beta and alpha beta-dq0 transformations; power and torque in the rotating reference frame.
• Dynamic model of the synchronous machine and analysis under sinusoidal steady-state conditions.
• Wound-rotor, surface- and interior-permanent-magnet, and reluctance synchronous machines; torque control, MTPA, axis decoupling, and field weakening.
• Dynamic model of the induction machine, self- and mutual-inductance coefficients, dynamic equivalent circuit, and electromagnetic torque in the dq0 reference frame.
• Direct and indirect field-oriented control of synchronous and induction machines.
• Introduction to embedded systems based on PLCs, microcontrollers, DSPs, and FPGAs and to National Instruments LabVIEW.
• Simulation, control design, and experimental validation of electric drives; hardware-in-the-loop systems and future trends.
• Ion Boldea, Syed A. Nasar, Electric Drives, Third Edition, CRC Press, 2016, ISBN 9781498748209.
• Bimal K. Bose, Modern Power Electronics and AC Drives, Prentice Hall PTR, 2002.
• Ned Mohan, Tore M. Undeland, William P. Robbins, Power Electronics Converters Applications and Design, Wiley, ISBN 0471226939.
• Ned Mohan, Advanced Electric Drives Analysis Control and Modeling Using MATLAB Simulink, Wiley, ISBN 9781118485484.
Programme
Module 1 Power electronic converters• Introduction to electric drives: definitions, classification, components, objectives, performance, and duty types.
• Review of ideal and non-ideal passive components and semiconductor devices; PN junction, power diodes, thyristors, MOSFETs, and IGBTs.
• Turn-on and turn-off transients; conduction and switching losses.
• Fundamentals of static power conversion: single-phase and three-phase AC/DC converters, DC/DC converters, single-phase and three-phase DC/AC inverters, and NPC multilevel inverters.
• Carrier-based PWM, bipolar and unipolar modulation, dead time, and third-harmonic injection.
• Converter modelling and simulation in MATLAB/Simulink; experimental tests on a diode bridge, a step-down converter, and a three-phase inverter.
Module 2 Electrical machines and marine drives
• Linear systems, transfer functions, frequency response, and industrial P, PI, and PID controllers in the continuous-time and discrete-time domains.
• Review of magnetic circuits, rotating magnetic fields, and the operating principles of electrical machines.
• abc-alpha beta and alpha beta-dq0 transformations; power and torque in the rotating reference frame.
• Dynamic model of the synchronous machine and analysis under sinusoidal steady-state conditions.
• Wound-rotor, surface- and interior-permanent-magnet, and reluctance synchronous machines; torque control, MTPA, axis decoupling, and field weakening.
• Dynamic model of the induction machine, self- and mutual-inductance coefficients, dynamic equivalent circuit, and electromagnetic torque in the dq0 reference frame.
• Direct and indirect field-oriented control of synchronous and induction machines.
• Introduction to embedded systems based on PLCs, microcontrollers, DSPs, and FPGAs and to National Instruments LabVIEW.
• Simulation, control design, and experimental validation of electric drives; hardware-in-the-loop systems and future trends.
Core Documentation
In addition to the lecture notes and teaching material provided by the instructor:• Ion Boldea, Syed A. Nasar, Electric Drives, Third Edition, CRC Press, 2016, ISBN 9781498748209.
• Bimal K. Bose, Modern Power Electronics and AC Drives, Prentice Hall PTR, 2002.
• Ned Mohan, Tore M. Undeland, William P. Robbins, Power Electronics Converters Applications and Design, Wiley, ISBN 0471226939.
• Ned Mohan, Advanced Electric Drives Analysis Control and Modeling Using MATLAB Simulink, Wiley, ISBN 9781118485484.
Attendance
Regular attendance at lectures, practical sessions, and laboratory activities is strongly recommended, given the application-oriented nature of the course and the close integration of theoretical content, simulations, and experimental validation.Type of evaluation
The final assessment consists of an oral examination covering the theoretical, methodological, and application-oriented topics addressed during the course. The examination assesses understanding of converters and electrical machines, the ability to interpret dynamic models, and knowledge of the main control strategies for electric drives used in marine applications. The evaluation takes into account the accuracy and completeness of the answers, appropriate use of technical terminology, the ability to connect the different drive subsystems, and the degree of autonomy demonstrated in solving analysis and control problems.