Industrial Control
Áreas Científicas |
Classificação |
Área Científica |
OFICIAL |
Controlo e Processos |
Ocorrência: 2021/2022 - 2S
Ciclos de Estudo/Cursos
Sigla |
Nº de Estudantes |
Plano de Estudos |
Anos Curriculares |
Créditos UCN |
Créditos ECTS |
Horas de Contacto |
Horas Totais |
LTE |
27 |
Plano de Estudos |
2 |
- |
6 |
75 |
162 |
Docência - Responsabilidades
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.
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 get approval at this Curricular Unit (CU), students must have an average equal to or greater than 9.5 in the tests and in the laboratory.
3 - In the theoretical-practical component, instead of tests, the student can choose to be evaluated by exam.
4 - There will be two writen assessment tests, which require an average grade greater than 9.5 for approval. This will be called the theoretical grade (NTP).
5 - In the laboratory, practical tests will be carried out to assess the skills acquired at the UC, with a special focus on subjects taught in laboratory classes. These written tests can be replaced by assessment in oral exams.
6 - In case of failure in the tests (NTP<9.5), the possibility of proof of recovery to one of the tests is foreseen, to be carried out on the date of the first exam.
7 - In case of failure in the tests, the student can choose to take the exam and the exam grade will be worth 75% of the final grade. The laboratory grade will be kept valid, must be positive (>=9.5) and is worth the remaining 25% of the final grade.
8 - The possibility of individual oral tests is foreseen, to be carried out after the other assessment components, in cases to be decided by the CU responsible.
Fórmula de cálculo da classificação final
Final mark = 0.75*NTP + 0.25*NL