Industrial Control

Base Knowledge

NA

 

Teaching Methodologies

The following teaching methodologies are used in this curricular unit:

1       – Expository method: a telling method were facts, concepts, principles and generalizations are defined andpresented by the teacher and discussed with the class, followed by demonstrative examples;

– Experimental method: an active method were the student develops the knowledge through the use of problemsolving and project development approaches, in group dynamics and individual reflective work.

Learning Results

The discipline of Industrial Control is presented in an Industrial Automation perspective, with the aim of introducing the analysis and design of industrial control systems, in an applied manner. Emphasis is placed on the practical realization of the subjects covered, namely by the use of programmable automata applied to industrial systems (carrying out practical work). After this course, it is intended that students are prepared to start an industrial activity in the area, establish a dialogue with specialists, and be able to operate and maintain automatic industrial equipment.

Program

Introduction to Industrial Automation: motivation, process control, components and interfaces Process Control

Open-loop and closed-loop systems

Industrial automatic controllers (On / Off, P, PI PD and PID)

Programmable Automata: Constitution, organization and programming

Input and output systems: interfaces

Programming of Industrial Automata

Set of instructions and examples (Siemens automatons of the S7-1200 family are used) Requirements for industrial automation: where, how and when.

Grading Methods

Periodic evaluation
  • - individual assignments (75%) - 75.0%
  • - one written exam (25%); - 25.0%
Final evaluation
  • - one written exam (50%); - 50.0%
  • - one individual assignment (50%) - 50.0%

Internship(s)

NAO

Bibliography

Automação Industrial, J. Norberto Pires, ETEP – Edições Técnicas e Profissionais, Lidel, 2002.

Automated Manufacturing Systems, S.B. Morriss, McGraw Hill, 1994.

Modern Control Engineering (5th Edition), Katsuhiko Ogata, Prentice Hall, 2009.