Course - Industrial Control Systems with Project - AIS2104
Industrial Control Systems with Project
About
About the course
Course content
The course contains a selection of the following topics:
- Automated industry systems
- Instrumentation (sensors, transducers and actuators).
- Technical documentation
- Technical safety
- Methodology for design of sequential and logic control systems, IEC848, Grafcet
- Programming of PLC (IEC61131-3)
- Programming of simulators
- Graphical presentation and user interface
- Data communication and system integration: Fieldbus. Ethernet. TCP/IP. OPC.
More details on the curriculum will provided during the start of semester.
Learning outcome
Knowledge
- The candidate can explain PLC-based control systems, is familiar with PC-based control systems, and can explain their most important differences.
- The candidate is familiar with technical safety, errors, error types, redundancy, FMEA, SIL.
- The candidate can explain explosion safety, Ex-zones and necessary conditions, consequences, and requirements for equipment.
- The candidate can explain formal requirements for instruments related to protection from water or dust, etc.
- The candidate knows about several fieldbuses.
- The candidate can explain various demands related to real-time systems, and their architecture.
- The candidate knows about various types of instruments and actuators
- The candidate knows about industrial robots.
Skills
- The candidate can program PLC systems.
- The candidate can implement simulators.
- The candidate can use program libraries/function blocks.
- The candidate can read and interpret schematics/drawings.
- The candidate can participate in practical project work.
- The candidate can connect various automation components (hardware).
- The candidate can work safely in the lab.
- 21st Century Skills
General competence
- The candidate can perform project management and planning.
- The candidate can work in teams/projects.
- The candidate can present project work and report progress.
- The candidate can evaluate risk and perform risk-mitigating measures.
- The candidate understands the technological area and its relation to the rest of the world, both with respect to ethical and social challenges and the relation to the environment, resources, and sustainability.
Learning methods and activities
Learning activities generally include a mix of lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.
Compulsory work: 10 exercises.
Compulsory assignments
- Works
Further on evaluation
The final grade is based on an overall evaluation of the portfolio, which consists of a number of works delivered through the semester. The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio. There is no re-sit exam. If a student retakes the course, previously delivered works in the portfolio may be reused.
Specific conditions
Admission to a programme of study is required:
Automation and Intelligent Systems - Engineering (BIAIS)
Recommended previous knowledge
- AIS1002 Objektorientert programmering og algoritmer
- AIS1001 Mikrokontrollere / AIS1001 Introduksjon til mekatronikk
- IMAA1001 Matematiske metoder 1
- IFYKJA1001 Fysikk
Required previous knowledge
The course has no prerequisites.
It is a requirement that students are enrolled in the study programme to which the course belongs.
Course materials
An updated course overview, including curriculum, is presented at the start of the semester and will typically also include English material.
Subject areas
- Applied Electrical Engineering
- Engineering Cybernetics
- Engineering