|SCIENTIFIC DISCIPLINARY SECTOR||ING-IND/32|
The course offers the needed knowledge for the study and development of advanced control systems for electrical systems, with particular reference to electronic power converters and to electrical drives, to guarantee the efficient transformation of electrical energy in the various forms required, in a very high power range, from the mW required for mobile phone operation to the tens of MW required for the operation of large naval electric motors.
Attendance and participation in the planned educational activities will allow the student to:
The course includes theoretical lectures (124 hours) and laboratory exercises (26 hours). The exercises will be both passive and active, the students will be invited to set up some computer control systems, independently. Attendance is absolutely recommended.
Fundamentals of stability theory: Premises. Definitions of stability according to Liapunov, motion and trajectory. Stability theorems.
Processing by input-state-output equations: Review of systems theory. Basic definitions. Notes on realizations in normal form. Stability of linear systems. Controllability and observability. Effects of feedbacks.
Control through state estimation (linear case): State estimation. Assignability of the poles and stabilization.
Optimal control: Premises. The maximum principle. Fundamental formulations. Some special cases.
Variable structure control: Operation in "sliding mode", conditions and limits of existence. Assignment of poles via state feedback. Applications to power conditioning systems and DC motor drives.
Cascade control for electric drives: general structure, meaning and effect of the limitations, feedforward action, anti-windup. Exemplification to the case of the DC motor.
Specific control techniques for electronic power converters and alternating current motors: voltage and current control of converters, vector modulation, scalar and vector controls of ac electric motors.
Acquisition and estimation of motor variable quantities and parameters for regulation: sensors, estimation algorithms.
Digital control: Z transform. Sampled-data systems. Sample rate effects and selection. Discrete Equivalents. Design and implementation of control systems for digital architectures.
All the audiovisual material used during the lessons and other educational material will be available on aulaweb. In general, the notes taken during the lessons and the material on aulaweb are sufficient for the preparation of the exam.
The texts indicated below, normally available at the Library, are suggested as support for some parts or for further information:
Office hours: Professor Mario Marchesoni receives by appointment at the Department of Naval, Electrical, Electronics and Telecommunications Engineering (DITEN), via all'Opera Pia, 11a, first floor, Genova. For appointments send an email to: firstname.lastname@example.org.
Office hours: By appointment arranged through email. Contact details: Andrea Formentini, DITEN, Via Opera Pia 11a, e-mail: email@example.com
MARIO MARCHESONI (President)
MAURIZIO FRANCO MAZZUCCHELLI
ANDREA FORMENTINI (President Substitute)
LUIS RAMON VACCARO (President Substitute)
All class schedules are posted on the EasyAcademy portal.
The exam consists of an oral test concerning the whole teaching program; alternatively, it is possible to take a first test concerning the topics covered in the classroom in the first semester by Prof. Marchesoni, a second test concerning the topics covered in the classroom in the second semester by Prof. Marchesoni and a third test concerning the topics covered in the classroom by Prof. Formentini. In the latter case, the final mark will be determined by the weighted average on credits of the three marks obtained.
Details on how to prepare for the exam and on the degree of depth of each topic will be given during the lectures. The exam will focus on all the topics covered both during the lectures and during the exercises and will allow us to verify the knowledge of the theory taught and the ability to correctly formulate even complex problems and set their solution.