2023
Control and Automation
Name: Control and Automation
Code: EME00506L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Electrotechnical Engineering
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
• The student will know and understand the fundamentals of analogue control. The student will gain the ability to analyse the system behaviour in time-domain and frequency-domain.
• The student will be able to design and implement a PID controller.
• The student will know and understand the fundamentals and methodologies of industrial automation.
• The student will be able to design automatic systems by programmable technology. The student will be able to program an automatic machine using the Grafcet methodology and implement the sequences in a PLC using the Ladder Diagram language.
• The student will be able to design and implement a PID controller.
• The student will know and understand the fundamentals and methodologies of industrial automation.
• The student will be able to design automatic systems by programmable technology. The student will be able to program an automatic machine using the Grafcet methodology and implement the sequences in a PLC using the Ladder Diagram language.
Contents
PART I: Control Systems:
1) Mathematical models for Control: Electrical, Mechanical, Fluidic, Thermal.
2) Analysis of systems - Transfer Function representation:
i) Time-domain analysis -1st order, 2nd order and multiple order systems -. Stationary response. Stability criteria. P-Controller design using the Root Locus method.
ii) Frequency-domain analysis. Bode diagram. Stability. Gain and phase margins. P-Controller design using the Bode method.
iii) PID controller. Usual design methods.
3) Analysis of systems represented by State-space formulation: Linear systems stability.
PART II: Industrial Automation:
1) Industrial logic components: pneumatic, electric and electronic technology.
2) Programmable automation. Basic components: Processing Unit, sensors and actuators.
3) Automatic Systems: Combinatory and sequential. Design of sequential systems using GRAFCET.
4) Implementation of automatic systems using Siemens LOGO PLC. (Programmable Logic Controller). LAD-programming.
1) Mathematical models for Control: Electrical, Mechanical, Fluidic, Thermal.
2) Analysis of systems - Transfer Function representation:
i) Time-domain analysis -1st order, 2nd order and multiple order systems -. Stationary response. Stability criteria. P-Controller design using the Root Locus method.
ii) Frequency-domain analysis. Bode diagram. Stability. Gain and phase margins. P-Controller design using the Bode method.
iii) PID controller. Usual design methods.
3) Analysis of systems represented by State-space formulation: Linear systems stability.
PART II: Industrial Automation:
1) Industrial logic components: pneumatic, electric and electronic technology.
2) Programmable automation. Basic components: Processing Unit, sensors and actuators.
3) Automatic Systems: Combinatory and sequential. Design of sequential systems using GRAFCET.
4) Implementation of automatic systems using Siemens LOGO PLC. (Programmable Logic Controller). LAD-programming.
Teaching Methods
The grades are within the interval [0,20].
The assessment method consists of the following components:
• [P1 + P2] Computational projects to be assessed in class, to model and simulate a dynamical system (P1) and to design a controller for a dynamical system (P2) - (15%).
• [TP3 + TP4] Laboratory works to implement programmable automatic systems - (15%)
• [T1] Test 1 (35%).
• [T2] Test 2 (35%).
• [Ex] Final Examination (70%)
The student can choose between 1 out of 2 possible assessment methods, where the Final Grade [NF] is calculated according to the following:
i) CONTINUOUS ASSESSMENT: NF = (P1 + P2)×0.15 + (TP3 + TP4)×0.15 +T1x0,35 +T2x0.35
if NF> 9.5 ^ Pi> 9.5 ^ TPi> 9.5 ^ T1> 8.0 ^ T2> 8.0 than student APPROVED
ii) FINAL ASSESSMENT: NF = (P1 + P2)×0.15 + (TP3 + TP4)×0.15 +Ex0,70
if NF> 9.5 ^ Pi> 9.5 ^ TPi> 9.5 ^ Ex> 9.5 than student APPROVED
The assessment method consists of the following components:
• [P1 + P2] Computational projects to be assessed in class, to model and simulate a dynamical system (P1) and to design a controller for a dynamical system (P2) - (15%).
• [TP3 + TP4] Laboratory works to implement programmable automatic systems - (15%)
• [T1] Test 1 (35%).
• [T2] Test 2 (35%).
• [Ex] Final Examination (70%)
The student can choose between 1 out of 2 possible assessment methods, where the Final Grade [NF] is calculated according to the following:
i) CONTINUOUS ASSESSMENT: NF = (P1 + P2)×0.15 + (TP3 + TP4)×0.15 +T1x0,35 +T2x0.35
if NF> 9.5 ^ Pi> 9.5 ^ TPi> 9.5 ^ T1> 8.0 ^ T2> 8.0 than student APPROVED
ii) FINAL ASSESSMENT: NF = (P1 + P2)×0.15 + (TP3 + TP4)×0.15 +Ex0,70
if NF> 9.5 ^ Pi> 9.5 ^ TPi> 9.5 ^ Ex> 9.5 than student APPROVED
Assessment
The grades are within the interval [0,20].The assessment method consists of three components (P, TP and Ex): · [P] Computational project to evaluate the capability of the students to design and simulate a controller for a dynamical system (10%).· [TP1 + TP2 + TP3 + TP4] Laboratory works to evaluate the capability of the students to implement systems using programmable technology in Industrial Automation (25%)· [Ex] Examination (65%)
[NF] Final Grade: NF = P ×0.10 + (TP1 + TP2 + TP3 + TP4)×0.25 + Ex ×0.65
If NF> 9.5 ^ P> 9.5 ^ TPi> 9.5 ^ Ex> 9.5: ApprovedRecommended Reading
Main references:
· Ogata, K.; Modern Control Engineering, Prentice-Hall International, Inc., 4th Ed., 2002.
· Pinto, R.; Técnicas de Automação, ETEP LIDEL-Edições Técnicas, 2004.
· Siemens; LOGO; Manual Edition 06/2003.
· Figueiredo, João; cópias dos acetatos das aulas da disciplina, 1999.
· Math Works; Matlab
Complementary references:
· Raven, F.; Automatic Control Engineering, McGraw-Hill, Inc., 5th Ed., 1995.
· Francisco, António; Autómatos Programáveis, ETEP LIDEL-Edições Técnicas, 2. Ed. 2003.
Teaching Staff
