Base Knowledge
Systems theory and control.
Teaching Methodologies
Motivation and presentation of the topics in the Lectures; The Problem solving is performed in the Practical
lessons.
Evaluation:
Evaluation of Practical work represents 65% of the final grade (13 points) with a final mark of not less than 6 points
required. The other 35% follow from a written examination (7 points) with a final mark of not less than 3 points
required.
Learning Results
The aims of Automation and Control Systems is to provide the students with an overview of issues and technologies involved in the design and implementation of industrial systems, mainly:
1- Understand and compute the Z transform and the inverse Z transform; Apply the Z transform and its inverse to solve linear difference equations; Interpret the representations of a time invariant linear control system (discrete and continuous-time); Analyse state-space models with application of both the Z transform and the Laplace transform;
2- Implement a PID and Fuzzy controllers in a real system;
3-Understand computer integrated manufacturing, Flexible production systems, Computer-controlled systems and implement a SCADA, with ZENON software and also with the TwinCat for Beckhoff PLC and with Information Designer for Beijer HMI.
Program
Dynamic mathematical models:
– The Z transform and the inverse Z transform.
– Linear difference equations with constant coefficients.
– Discrete and continuous linear systems: characterization.
– Analysis of discrete and continuous time state-space models.
Introduction to Industrial Control, characterization and classification of industrial systems:
– PID and fuzzy controllers
– Models of continuous time and discrete
– Implementation of controllers in a real system
– Introduction to Industrial Automation
– Introduction to computer integrated manufacturing
– Flexible production systems
– Computer-controlled systems
– SCADA – ZENON
– TwinCat and Information Designer
Internship(s)
NAO