Control Engineering

About this course

Τhe basic concepts of digital control in industrial systems are presented, as well as the techniques of analysis, design and integration of automation projects.

Expected learning outcomes

General knowledge about the digital control of dynamic systems, the main tools for the simulation of sampled systems
Ability to design digital regulation and control systems.
Ability to conceive, develop and *model automatic systems.
Ability to analyze the needs of an automation project and set its specifications.
Ability to *dimension and select an industrial *programmable automaton for a specific automation application as well as determine the type and characteristics of two necessary sensors and *actuators.
Ability to translate a working model into an automaton program.
Being able to integrate different technologies (electronic, electrical, *pneumatic, etc.) is not a single automation.

Indicative Syllabus

SUBJECT 1.- Digital control systems. 1.1 Computer control schemes.
1.2 Sequences and discrete systems.
1.3 Z transform.
1.4 Transfer function in z.
1.5 Difference equations.
SUBJECT 2.- Analysis of sampled control systems. 2.1 Showcase.
2.2 Reconstruction.
2.3 Sampled systems.
2.4 Stability.
2.5 Transient response analysis.
2.6 Permanent response analysis.
SUBJECT 3.- Sit down of digital regulators. 3.1 Discretization of continuous regulators.
3.2 Discrete PID regulators.
SUBJECT 4.- Industrial Programmable Automata (PLCs) 4.1 Principle of operation.
4.2 Entry Memory and Exit Memory.
4.3 PLC operating cycle. Cycle time.
4.4 Structured programming. Types of program modules.
SUBJECT 5.- Standardized languages ​​for the programming of automata. 5.1 PLC programming with Standard IEC 61131.
5.2 Types of Numeric Data. limitations. Conversion.
5.3 Advanced programming in Function Diagram and Ladder Diagram. Expansion of the set of related instructions.
SUBJECT 6.- Supervision and Control of Industrial Processes. 6.1 Treatment of non-automaton I/O analog signals.
6.2 Modeling of supervision and/or control systems.
6.3 The functional model of the automaton program.
6.4 Integration of Technologies.
Q1. Matlab and Simulink for Discrete Systems. Review and extension of the Matlab and Simulink program for the analysis and design of control systems.
P2. Introduction to Digital Systems. Mostraxe and Reconstruction procedures. Influence of the sampling period.
Q3. Dynamic Analysis of Digital Systems. Obtaining the temporal response from a discrete system. Implementation of Difference Equations for system simulation.
Q4. Sit down from Discrete Regulators. Discretization of continuous regulators: comparison of two different methods of discretization. Implementation of a discrete PID.
Q5. Treatment of non-Automaton analoxic sinuses. Realization of a single PLC program to check the treatment and management of analog I/O signals in a Programmable PLC.
Q6. Process Supervision with analog signals. Supervision modeling and implementation of a single process that has several analog input signals.
Q7. Process Supervision with analog signals. Modeling and implementation of the Supervision of a more complex process with several analog input signals, different work zones and alarms.
Q8. Supervision and Control of Processes with analogic signals. Modeling and implementation of the Supervision and Control of processes that are not involved in analogue signals, both input and output according to the Control Laws.

Teaching / Learning Methodology

Introduction activities 1 hour
Lectures 44 hours
Lab 45 hours
Problem solving 30 hours
Exam 30 hours

Recommended Reading

TBA