Syllabus academic year 2009/2010
(Created 2009-08-11.)

Higher education credits: 7,5. Grading scale: TH. Level: G2 (First level). Language of instruction: The course will be given in English on demand. MIE080 overlap following cours/es: MIE052, MIE062, MIE052, MIE062, MIE052, MIE062, MIE052 och MIE062. Optional for: D4, E3, E3pe, E3ra, F4, F4rs, I4ip, I4pr, M4, M4pr, Pi4. Course coordinator: Associate Professor Ulf Jeppsson,, Inst f ind elektrotekn o aut. Recommended prerequisits: FRT010 Automatic Control, Basic Course. Assessment: Written exam. For completion of the course simulation exercises (two written reports) and laboratory exercises (two) as well as a literature study (written report) must be completed and approved. Home page:

Automation is the engineering science utilizing measurements and information in real time in order to optimize material and energy flows in the best possible way. The purpose of the course is to give an overview of the different components that constitute an industrial control system and how these work and interact with each other. Another purpose is to give basic knowledge on the tools and methods used for realisation, analysis and assessment of industrial control systems. In this course, we combine topics from several other courses, such as automatic control, mathematical statistics, measurement technology, and computer engineering, to demonstrate what automation may look like in various industrial branches.

Knowledge and understanding
For a passing grade the student must

be able to individually

Skills and abilities
For a passing grade the student must

be able to individually

Judgement and approach
For a passing grade the student must

be able to individually

Industrial processes: Where is automation applied? Examples from various industrial applications.

Structuring industrial processes: The concepts of dynamical systems and event driven systems.

Models: Continuous and time discrete dynamical systems and event driven systems.

Process monitoring: Sampling of measurement data, filtering and data analysis.

Structures for industrial control systems: Sequential control, combinatorial networks and continuous processes. Real time programming and industrial communication. Examples of commercial control systems.

The physical parts of a control system: Data acquisition and actuators.

Literature study: Gather information and produce a short written report on a typical automation problem or area.

Home simulation exercises: Discrete and dynamic systems for which two reports are handed in.

Laboratory exercises: Structuring and programming of a simple control problem in a laboratory process.

Olsson G, Rosén C: Compendium in "Industrial Automation - Application, Structures and Systems". IEA, Faculty of Engineering, Lund University, 2005.