Dynamic Systems and Control

Code:

ACSPI4002

Acronym:

ACSPI4002

Keywords
Classification	Keyword
OFICIAL	Automation, Control & Manufacturing Syst.

Instance: 2017/2018 - 1S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master's Degree in Physical Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MI:EF	3	study plan from 2017/18	4	-	6	56	162

Teaching language

Suitable for English-speaking students

Objectives

The main goal of this course is to endow students with the ability to:
1. analyze linear time invariant (LTI) systems in the time and frequencies domains;
2. operate with different representations of LTI systems;
3. analyze feedback systems, including feedback controllers;
4. synthesize basic feedback controllers based on performance and stability requirements;
5. analyze the behavior of nonlinear systems.

Learning outcomes and competences

At the end of the course the student should be able to integrate the acquired knowledge in the motivating context of applications in engineering, in the field of systems and control.

Working method

Presencial

Program

Linear time invariant systems. Systems described by differential equations. Transfer function, poles and zeros. Frequency analysis of systems. Bode plots. Time response of 1st and 2nd order systems. State space representation of systems. Controllability and observability.

Interconnection of systems. Feedback systems and block diagrams. Stability of feedback systems. Stability margins. Performance of feedback systems.

Feedback control. Proportional, integral and derivative controllers. Lead and lag compensation. Synthesis of feedback controllers. Pole placement and state feedback. State observers.

Nonlinear systems. Trajectories. Equilibrium points. Limit cyles.

Mandatory literature

Franklin Gene F; Feedback control of dynamic systems. ISBN: 0-13-098041-2

Teaching methods and learning activities

Lectures will be used to present the course material, and to discuss illustrative examples. Students will have weekly assignments that will be discussed during practical classes. MATLAB based tools will be extensively used during classes. Evaluation will be based on the homework assignments, a midterm test, and a final exam.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	40,00
Teste	30,00
Trabalho escrito	30,00
Total:	100,00

Calculation formula of final grade

F = 0.4*E + 0.3*MT + 0.3*P

F - final grade

E - Exam

MT - Mid term test

P - Project