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Introduction to Control Systems

Code: LEM21115     Sigla: IC

Áreas Científicas
Classificação Área Científica
OFICIAL Controlo de Processos

Ocorrência: 2023/2024 - 1S

Ativa? Yes
Unidade Responsável: Departamento de Sistemas e Informática
Curso/CE Responsável:

Ciclos de Estudo/Cursos

Sigla Nº de Estudantes Plano de Estudos Anos Curriculares Créditos UCN Créditos ECTS Horas de Contacto Horas Totais
EM 84 Plano de Estudos 2 - 3 45 81

Docência - Responsabilidades

Docente Responsabilidade
Sérgio Fernando Pereira Delgado de Sousa

Docência - Horas

Theorethical and Practical : 1,50
Practical and Laboratory: 1,50
Type Docente Turmas Horas
Theorethical and Practical Totais 2 3,00
Sérgio Fernando Pereira Delgado de Sousa 3,00
Practical and Laboratory Totais 4 6,00
Paulo Alexandre de Sousa Almeida Felício 1,50
Artur Manuel Fortunato Graxinha 1,50
João Miguel Guerreiro Dias Alves Lourenço 3,00

Língua de trabalho

Portuguese

Objetivos

Provide students with an understanding of the importance of automatic control in technical systems.

Provide students with the knowledge and skills to understand the operation of an automatic control system and the function of each of its various components.

Give students an introduction to the main techniques and methodologies used in automatic control, in particular those of classical control.


Give students knowledge about PID controllers and their tuning and the ability to identify the need or opportunity for application in real processes.

Resultados de aprendizagem e competências

1 -Students should be able to understand open loop and closed loop (feedback) systems and identify the components of a feedback control system.

2 - Students should be able to analyze the transient response and steady state behavior of linear systems.

3 - Students should be able to understand the concept of stability of control system and to apply methods of stability analysis.

4 - Students understand basic applications of proportional, integral and derivative feedbacks in control systems and their effects on the system performance and stability.

5 -Students should be able to do the tuning of a PID controller using the tuning methods learned in the classroom

6 - Students should be able to analyze and design control systems using Matlab/Simulink software.

Modo de trabalho

Presencial

Programa

1-Mathematical modeling of physical systems- Transfer function. Poles and zeros. Block diagram reduction techniques.

2-Time response of first and second order systems– time domain specifications. Types and order of systems, steady state errors.

3-Scope of control, Parts of a control system. Open and closed loop systems. Advantages of closed loop operation: Sensitivity and complementary sensitivity, disturbance and noise reduction

4-Stability of Control System- Location of roots in S plane for stability.

5–PID Controllers-Proportional, Integral and Differential Elements. Effects on system response. Ziegler-Nichols PID tuning rules. Reset-windup. Real system applications.

Bibliografia Obrigatória

Norman S. Nise; Control Systems Engineering, John Wiley & Sons Inc, 2019. ISBN: 978-1119592921
Katsuhiko Ogata; Engenharia de Controle Moderno, Pearson Universidades, 2010. ISBN: 978-8576058106
Phillips, Parr; Feedback Control Systems, Pearson India, 2013. ISBN: 978-9332507609
Gene F. Franklin, J.David Powell, Abbas Emami-Naeini; Feedback Control of Dynamic Systems, Prentice-Hall, 2019. ISBN: 978-1292274522
Karl J. Astrom and Dr. Bjorn Wittenmark; Advanced PID Control, ISA, 2005. ISBN: 978-1556179426

Bibliografia Complementar

Paulo Almeida Felício; Apontamentos sobre Controlo Automático, 2021
Paulo Felício; Guias de laboratório

Métodos de ensino e atividades de aprendizagem

Theoretical-Practical Classes: Introduction of concepts with presentation of examples. Solving exercises by students. Support texts and exercises that contribute to the acquisition of the expected knowledge and skills are provided to students.

Laboratory Classes: Computer simulation of systems and analysis of their responses over time, using MATLAB and SIMULINK programs. Simulation of systems with behavior similar to those of physical systems existing in the laboratory. Identification of models of real systems. Controller parameter tuning experiments. Parameterization of industrial controllers.

 

Software

Matlab
Octave
Simulink

Tipo de avaliação

Distributed evaluation with final exam

Componentes de Avaliação

Designation Peso (%)
Exame 75,00
Trabalho laboratorial 25,00
Total: 100,00

Componentes de Ocupação

Designation Tempo (Horas)
Estudo autónomo 33,00
Frequência das aulas 45,00
Trabalho escrito 3,00
Total: 81,00

Obtenção de frequência

1 - The assessment has two components, a theoretical-practical component (NTP) and a laboratory component (NLAB).

2 - To be approved, the student must have an average equal to or greater than 9.5 in tests (NPT) and in the laboratory (NLAB).

3 - In the theoretical-practical component, instead of tests, the student can choose to be assessed by exam.

4 - There will be two evaluation tests, face-to-face (50% each), which for approval require an average grade higher than 9.5. This will be called the theoretical grade (NTP).

5 - In the laboratory, individual oral tests will be performed to evaluate the skills acquired in the CU, with special emphasis on the subjects taught in the laboratory classes. Practical tests may also be performed to assess the skills acquired in the course, with special focus on the subjects taught in laboratory classes.

7 - In case of failure in the tests (NTP<9,5), it is foreseen the possibility of a recovery test to one of the tests, to be held on the date of the first exam.

Fórmula de cálculo da classificação final


Final mark = 0.75*NTP + 0.25*NLAB
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