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Control Systems

Code:

LACI22018

Sigla:

CS

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
EACI	48	Plano de Estudos 14	2	-	6	75	162

Língua de trabalho

Portuguese

Objetivos

This curricular unit aims to introduce the fundamental tools and principles necessary for the analysis and design of control systems.

Resultados de aprendizagem e competências

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


• Students should be able to apply the root locus and the frequency response methods to analyze and design linear feedback systems.


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


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


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

Modo de trabalho

Presencial

Pré-requisitos (conhecimentos prévios) e co-requisitos (conhecimentos simultâneos)

It is very important that the students have previously attended the courses of Signals, Systems and Simulation, Applied Mathematics. It is also important to have good knowledge of Matlab/Simulink.

Programa

1. Scope of control. Open and closed loop systems. Advantages of closed loop operation: Sensitivity andcomplementary sensitivity, disturbance and noise reduction


2. Root-Locus Analysis-Root locus plot, rules for constructing root loci, root-locus analysis of control systems and stability.


3. Frequency Response Analysis-Bode diagrams. Relative stability, Gain margin, phase margin, correlation between time and frequency response.


4. Compensator design- Performance criteria. Lag, lead and lag-lead networks Compensator design using bode plots and Root-Locus.


5. Identification of First and Second Order Systems: Identification of 1st order systems by the tangent, modified tangent and Sundaresan and Krishnaswamy methods. Identification of 2nd order systems by the modified Harriott, Smith, Rangaiah and Krishnaswamy, and Chen methods.


6. PID Controllers-Proportional, Integral and Differential Elements. Effects on system response. The Ziegler-Nichols, Amigo and Cohen-Coon and SIMC PID tuning rules. Reset-windup. Relay feedback PID auto-tuning

Bibliografia Obrigatória

Katsuhiko Ogata; Engenharia de Controle Moderno, Pearson, 2010. ISBN: 978-8576058106
Richard C. DORF, Robert H. BISHOP; Sistemas de Controle Modernos, LTC, 2018. ISBN: 978-8521635123
Norman S. Nise ; Engenharia de Sistemas de Controle, LTC; 7ª edição, 2017. ISBN: 978-8521634355

Bibliografia Complementar

Karl Johan Åström , Richard M. Murray ; Feedback Systems: An Introduction for Scientists and Engineers, Princeton University Press, 2021. ISBN: 978-0691193984
Katsuhiko Ogata; Modern Control Engineering: Fifth Edition, PRENTICE HALL, 2010. ISBN: 978-8120340107
Karl Johan Åström , Tore Hagglund ; Advanced PID Control, ISA, 2005. ISBN: 978-1556179426
Dale E. Seborg, Thomas F. Edgar, Duncan A. Mellichamp, Francis J. Doyle III; Process Dynamics and Control, Wiley, 2016. ISBN: 978-1-119-28591-5
Norman S. Nise; Control Systems Engineering 8th Edition, Wiley, 2020. ISBN: 978-1119721406

Métodos de ensino e atividades de aprendizagem

The theoretical contents of the curricular unit will be presented through lectures. Students are encouraged to
apply the competences acquired through problem solving sessions.
Laboratory activities are used to relate the concepts to practical applications and students are
exposed to hand-on experience, proper use of equipment and also to provide the students with experience on
the use of simulation tools for the computer-aided analysis and controller design of typical dynamic systems. It
also trains students in the analysis and presentation of experimental data and improve the students report
writing skills

Software

Matlab/Simulink

Tipo de avaliação

Distributed evaluation with final exam

Componentes de Avaliação

Designation	Peso (%)
Exame	74,00
Trabalho laboratorial	26,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Frequência das aulas	75,00
Estudo autónomo	70,00
Trabalho escrito	5,00
Trabalho laboratorial	12,00
Total:	162,00

Obtenção de frequência

Approval in the subject can be obtained by continuous assessment or by a final exam.
Continuous assessment and final assessment include a written component and a laboratory component (mandatory laboratories).

1 - Continuous Assessment

1. Two Tests (T₁, T₂) with a minimum classification in both of 8.5 values ​​(T1≥8.5 and T2≥8.5);


2. Execution of laboratory work and delivery of the respective reports at the end of the class, and their discussion at a later date. The average of the ratings of the reports must be greater than or equal to 8;

2 - Assessment by Final Exam

1. Final exam with a minimum classification of 8.5 values ​​(E≥8.5);


2. Execution of laboratory work and delivery of the respective reports, at the end of the class, and their discussion at a later date. The average of the ratings of the reports must be greater than or equal to 8;

Student assessment rules

• When requested, it is mandatory to present an identification document during the tests.

• Tests written in ESTSetúbal test/exam notebooks are only accepted.

• Leaving the room can only take place 30 minutes after the start of the test/exam and implies the final delivery of the test, and the delay in entry cannot, under any circumstances, exceed 15 minutes.

• During assessments, calculating machines with graphic or alphanumeric capabilities cannot be used unless the teacher explicitly authorizes it.

• During assessments, the handling or display of mobile phones (which must be turned off) and other electronic equipment is not allowed, and the use of any of this type of equipment is the reason for the cancellation of the race.

Fórmula de cálculo da classificação final

The final grade (NF), which should not be less than 10 for success in the uc, results from the weighted average of the grades obtained in the final exam  or in the tests and in the works of laboratory 

Assessment by Final Exam:
NF=0.8E+0.2NL,
Exam E-Scoring (E≥8.5)
NL-averages of laboratory work classifications (NL ≥8)

Continuous evaluation
NF=0.4(T₁+T₂)+0.2NL,
T1 - 1st test classification (T₁≥8.5)
T2 - Classification of the 2nd test (T₂≥8.5)
NL-averages of laboratory work classifications (NL ≥8)