Discipline details

Course details

Recommended Prior Knowledge

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Objectives

It is intended that students are able to distinguish systems in open chain and closed chain, as well as their respective characteristics. Represent systems in block diagrams, transfer functions. Analyze and characterise
systems, based on their transfer functions, response time and frequency. Acquire the notions of absolute/relatively stability and identify the various components that may constitute a control chain. Should still achieve scale
controllers, using different methods of design, as well as identify the most appropriate given the specifications you want for each system.
Teaching Methods

Theoretical-practical lessons: introduction of the concepts with examples. Resolution of exercises by the students.
Circuit mounting for laboratories: analysis and simulation of systems. Computer simulation of systems and analysis of their responses (time and frequency), through the matlab and simulink. Distributed assessment with final examination.
Internship(s)

Não
Syllabus

1 - Introduction to systems
2 - Introduction to control
3 - Stability: Understanding absolute and relative stability. Routh-Hurwitz criterion.; Diagram of the locus of the roots (root-locus), Rules for the construction of the root-locus diagram for positive gain. Root-locus as a function of any parameter.
4 - Draft a classic controller: The basic control actions: Proportional (P), Integral (I) and Derivative (D). The PID controller. Topologies PID controllers. Project PID controllers, Ziegler-Nichols methods (gain curve and critical reaction. Switching A / M and-reset windup: consequences and solutions. I-PD controllers.
5 - Frequency domain analysis: Bode diagrams. Nyquist criterion and diagram. Relative stability, gain margin and phase robustness. Relations between the temporal response and frequency response. Self-tuning PID controllers
Content Explanation

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Methodology Explanation

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Responsible Lecturer(s)

Paulo Alexandre de Sousa Almeida Felício - 2.º Semester
Bibliography

Norman S. Nise; Control Systems Engineering, John Wiley & Sons Inc, 2019. ISBN: ISBN: 978-1119592921
Paulo Almeida Felício; Apontamentos sobre Controlo Automático, 2022
Katsuhiko Ogata; Engenharia de Controle Moderno, Pearson Universidades, 2010. ISBN: ISBN: 978-8576058106
Paulo Felício; Guias de laboratório, 2022
Gene F. Franklin, J.David Powell, Abbas Emami-Naeini; Feedback Control of Dynamic Systems, Prentice-Hall, 2019. ISBN: 978-1292274522