Overall objectives:

1 - Understand the concepts related to the fundaments of control theory.
2 - Understand the process of modelling a system through mathematical equations.
3 - Apply transforms to the analysis of systems, considering stability issues.
4 - Understand compensation issues.
5 - Learn about Matlab and Simulink through small assignments on the topics taught.

Syllabus:

1 - Mathematical models of physical systems.
2 - Time Domain analysis; transient analysis for 1st and 2nd order; stability; Routh Hurwitz criteria; feedback; steady state analysis, root geometrical placement.
3 - Linear systems in time domain, frequency response, polar representation; Bode diagrams, Nyquist stability criteria, gain margin and phase margin.
4 - Controller syntheis; Series controllers; phase compensation; PID controllers; Other types of controllers.
5 - State space analysis: transfer function; exponential matrix; controlability and observability.
6 - Discrete systems analysis: discrete transfer function; placement in Z plane.

Literature/Sources:

Azevedo, J. A. R. , 2012 , Apontamentos de Teoria do Controlo , Universidade da Madeira
Katsuhiko Ogata , 2002 , Modern Control Engineering , Prentice Hall
J. L. Martins de Carvalho , 1993 , Dynamical Systems and Automatic Control , Prentice Hall International
Franklin, Powell and Naeimi , 1994 , Feedback Control of Dynamic Systems , Addison-Wesley
C. L. Philip and R. D. Harbor , 1996 , Feedback Control Systems , Prentice-Hall
Azevedo, J. A. R. , 2012 , Apontamentos de Teoria do Controlo , Universidade da Madeira

Assesssment methods and criteria:

Classification Type: Quantitativa (0-20)

Evaluation Methodology:
Lectures, Solving exercises, Practical work in laboratory and simulation. Practical Work: Practical Work is developped inside and outside the classroom and are evaluated through a report and presentation in class. They allow the student to develop competences of project, writting, presenting results, oral communication and ream work.