CODE  94786 

ACADEMIC YEAR  2022/2023 
CREDITS 

SCIENTIFIC DISCIPLINARY SECTOR  INGINF/04 
LANGUAGE  Italian 
TEACHING LOCATION 

SEMESTER  1° Semester 
TEACHING MATERIALS  AULAWEB 
The course deals with the analysis and synthesis methodologies of control systems for mechatronic systems. In particular, SISO (single input  single output) methods for linear and time invariant systems (LTI) are developed in the frequency domain. The course also aims to provide a concise overview of modeling and control approaches for multivariable linear dynamical systems in state space as well as linearization for nonlinear systems.
Provide the knowledge and acquire the skills for the synthesis and implementation of control architectures, with particular attention to the implementation on embedded systems of driving, navigation and control architectures of autonomous and semiautonomous systems.
Knowledge and understanding: Provide adequate knowledge in order to understand the role of control systems for linear time invariant SISO (single input  single output) plants. In particular, the expected learning outcomes are related to the understanding of openloop and closedloop control solutions. Central are the concepts of stability of SISO dynamical systems, robustness to model uncertainties and exogenous disturbances.
Regarding the ability to apply knowledge, at the end of the course the student must be familiar with:
Modeling simple dynamic systems, deducing their representation in the state pace and in terms of interconnection of transfer functions in the frequency domain.
Carrying out the frequency analysis of transfer functions and structural properties in the state space.
Evaluating the properties and performances of a control system (reduction / cancellation of steadystate errors in response to polynomial and sinusoidal inputs, evaluation of dynamic behaviors, role of dominant poles, bandwidth, etc.)
Evaluating the compatibility of the assigned control specifications with the characteristics of the given system. In case of incompatibility, knowing how to reformulate new specifications compatible with the plant and the boundary conditions assigned.
Synthesize a regulator for a given plant, capable of satisfying the specifications of dynamic and steadystate behavior.
Autonomy of judgment, communication skills: The autonomy of judgment must be manifested by demonstrating understanding of the concepts and methods described in the course.
Learning skills: Learning skills will be measured (qualitatively) during lectures, receptions, and exercises which will be based on the maximum possible active participation. Final learning ability will be assessed globally and quantitatively in the exam.
Knowledge of general concepts and methodological tools of functional analysis and linear algebra.
Part 1: Introduction to the problem of Automatic Controls, general concepts relating to openloop and closedloop control schemes. Introduction to the concept of robustness to exogenous disturbances and to parametric uncertainties. Practical examples of plant modeling and their control architectures.
Part 2: Introduction to linear models in state space and their structural properties. Introduction to observability and controllability properties of dynamic systems in state space. Lyapunov stability of the equilibria of dynamical systems in state space. Introduction to linearization of nonlinear continuoustime dynamic models.
Part 3: Review of the stability of linear timeinvariant SISO systems in the Laplace domain. Closed loop stability analysis methods: Nyquist method, phase margin and gain margin methods, the Root Locus method.
Part 4: Closed loop performance analysis, both in the time and in the frequency domains (steadystate and transient regimes).
Part 5: Review of the synthesis of regulators: specifications of a control system; general synthesis methods for minimum phase plants; PID and general regulators in the frequency domain.
Part 6: Introduction to the discretization of continuoustime synthesized regulators for their digital implementation and numerical examples.
Course notes will be made available by instructors and are to be considered the main course material. As for additional references on specific topics, candidates should consider the following:
Office hours: On the sidelines of the lectures or by appointment to be agreed by email a few working days in advance.
FRANCESCO WANDERLINGH (President)
All class schedules are posted on the EasyAcademy portal.
Oral colloquium.
The exam colloquium will focus on the course program resulting from the lesson diary. Control system analysis and synthesis exercises will be covered during the oral colloquium.
Date  Time  Location  Type  Notes 
