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Industrial Control

Code: LTE22120     Sigla: CI

Áreas Científicas
Classificação Área Científica
OFICIAL Controlo e Processos

Ocorrência: 2023/2024 - 2S

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
LTE 24 Plano de Estudos 2 - 6 75 162

Docência - Responsabilidades

Docente Responsabilidade
Paulo Alexandre de Sousa Almeida Felício

Docência - Horas

Theorethical and Practical : 3,00
Practical and Laboratory: 2,00
Type Docente Turmas Horas
Theorethical and Practical Totais 1 3,00
Paulo Alexandre de Sousa Almeida Felício 3,00
Practical and Laboratory Totais 1 2,00
Paulo Alexandre de Sousa Almeida Felício 2,00

Língua de trabalho

Portuguese

Objetivos

At the end of the semester, the successful student should be able to identify the main components of open-loop and closed-loop control systems, as well as to describe and understand their most relevant characteristics.
Know how to represent systems in block diagrams and through transfer functions. Know how to analyze and characterize systems, based on their transfer function, and their response in time and frequency. Acquire the notions of absolute and relative stability and be able to identify the various components that can constitute a control loop.
Know how to choose the most appropriate type of controller in view of the characteristics of the system to be controlled and the objectives to be achieved. Be able to dimension controllers, using different design methods. Be able to fine-tune the parameters of a process PID controller.

Resultados de aprendizagem e competências


It is intended that students who have successfully attended the course will be able to:

1 - Understand the differences between open and closed loop systems and identify the various components that can make up a control loop.

2 – Analyze and characterize systems, based on their time response.

3 - Understand the notions of absolute/relative stability

4 – Understand the basic control actions: Proportional (P), Integral (I) and Derivative (D) and their influence on the performance and stability of a control loop.

5 - Know how to tune PID controllers by the various learned methods;

6 – Be able to use the Matlab/Simulink program to analyze and design control systems.

7 - Know what Bode diagrams and Nyquist diagrams are.


Modo de trabalho

Presencial

Programa

1 – Introduction to control: The control problem:
Regulator and servo-mechanism. The feedback and its influence on the attenuation of disturbances and noise, on the tracking and on the sensitivity to the variation of parameters. 

2 - Introduction to systems:
Properties and representation of systems. Laplace transform reviews. Transfer function, poles and zeros. Block algebra. Systems models, time response and performance specifications for first and second order systems. Stationary errors.

3 - Stability:
Notions of absolute and relative stability.

4 - Relations between the geometric locus of the poles of a system model and its dynamic behavior.

5 – Project of classic controllers:
The basic control actions: Proportional (P), Integral (I) and Derivative (D). The PID controller. PID controller topologies. PID controllers project: Ziegler-Nichols methods (critical gain and reaction curve); A/M switching and reset-windup: consequences and solutions.

6 – Analysis in the frequency domain:
Bode diagrams. Nyquist diagram and Criterion. Relative stability, gain and phase margin, robustness. Relationships between time response and frequency response.

Bibliografia Obrigatória

Paulo Almeida Felício; Apontamentos sobre Controlo Automático, 2022
Paulo Felício; Guias de laboratório, 2022

Bibliografia Complementar

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

Métodos de ensino e atividades de aprendizagem

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


Laboratories: Computer simulation of systems and analysis of their responses over time, through the MATLAB and SIMULINK programs.
Simulation of dynamic systems. Experiments to identify models of physical systems existing in the laboratory and control these systems. Experiments in tuning controller parameters. Parameterization of industrial controllers.

Software

Matlab
Simulink
Octave

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

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

Componentes de Ocupação

Designation Tempo (Horas)
Estudo autónomo 87,00
Frequência das aulas 75,00
Total: 162,00

Obtenção de frequência

1 - The assessment has two components, a theoretical-practical component (NTP) and a laboratory component (NLAB).
2 - To pass the course, students must be approved, that is, have an average equal or superior to 9.5 in both components NTP and NLAB.
3 - There will be two face-to-face assessment tests that require an average mark of 9.5 or higher and a minimum mark of 7.5 in each test. The resulting mark will be designated as theoretical-practical grade (NTP).
4 - In the theoretical-practical component, instead of the tests, the student may choose to be assessed by examination. In both options NTP counts 75% and NLAB counts 25%.
5 - Practical tests will be performed in the laboratory to assess the skills acquired in the course, with special focus on the subjects taught in the laboratory classes. These written tests may be replaced or complemented by oral tests.
6 - It is compulsory to attend at least 70% of the 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 regular season exam (1st exam).
8 - In case of failure in the tests the student may choose to take the exam and the exam grade will be worth 75% of the final grade. The laboratory grade, which must be positive and is worth the remaining 25% of the final grade, will remain valid.
9 - The possibility of individual oral tests is foreseen, to be carried out after the other evaluation components, in cases to be decided by the responsible for the curricular unit.


Fórmula de cálculo da classificação final

Final mark = 0.75*NTP + 0.25*NL
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