Course syllabus
Automation för komplexa system
Automation for Complex Systems
MIE090, 7,5 credits, A (Second Cycle)
Valid for: 2016/17
Decided by: Education Board A
Date of Decision: 2016-04-05
General Information
Elective for: D4, E4-ra, F4, I4, M4-prr
Language of instruction: The course will be given in English on demand
Aim
The purpose of the course is to provide understanding for the
problems that appear in large and complex industrial automation
systems. Another purpose is to give fundamental knowledge about the
tools and methods used for realisation, analysis and assessment of
industrial automation systems. Many complex industrial systems
today include a very large number of measurement points,
controllers and actuators. A large process industry may include
more than 200 000 measurement points. This requires large computer
control systems and the handling of huge amounts of information.
How can the information from such a large number of units be
systematically condensed? The course describes and analyses how to
structure this kind of complex systems. The primary goal of the
course is to coordinate many unit processes or machines to properly
conduct such an “industrial orchestra”.
Learning outcomes
Knowledge and understanding
For a passing grade the student must
be able to individuallycharacterise industrial processes from a
complexity perspective and understand how the complexity affects
the application of automation;
- describe how to use mathematical models to solve typical
automation problems;
- explain and use important concepts such as stability, real time
demands, capacity, stationarity and dynamic stiffness.
Competences and skills
For a passing grade the student must
be able to individually
- formulate and structure a mathematical model of an industrial
process based on information about the constituting components and
how they interact and by using this model analyse
important characteristics of the process;
- structure a control system for a industrial process consisting
of several process units;
- program a PLC to solve control tasks requiring several
processes to run in parallel.
Judgement and approach
For a passing grade the student must
be able to individually
- assess the appropriateness of control, process monitoring and
communication structures for industrial processes with complex
relationships between key quantities.
Contents
- Complex systems: Definition of complexity. How
complexity appears in industrial systems. A deepened description of
complexity in the process industry, power distribution systems and
manufacturing industries.
- Description of complex systems: Continuous and discrete
event systems. Simulators.
- Modelling complex systems: How to represent dynamics in
large systems. Stiff dynamic systems and sparse matrices.
Differential-algebraic systems. Model libraries in simulators.
Modelling tools and languages.
- Process monitoring: Multivariable tools for analysis,
estimation and regression.
- Structures of industrial computer control systems: The
ICE61141-3 standard. How structures of processes affect tools for
control systems. Information structures and process databases.
- Laboratory project: Use a commercial software based on
the ICE61141-3 standard to structure and program a solution to a
larger control problem for a laboratory process. The primary
educational goal for the project is synthesis of previously
acquired knowledge (50%) combined with technical advancement (20%),
problem analysis (20%) and project methodology (10%).
Examination details
Grading scale: TH
Assessment: Written exam. For completion of the course, simulation exercises (two written reports) and a laboratory project (practical demonstration, report) must be approved.
Parts
Code: 0108. Name: Automation for Complex Systems.
Credits: 7,5. Grading scale: TH.
Code: 0208. Name: Laboration Project.
Credits: 0. Grading scale: UG.
Code: 0308. Name: Written Assignment.
Credits: 0. Grading scale: UG.
Admission
Required prior knowledge: MIE080 Automation.
The number of participants is limited to: No
Reading list
- Olsson G, Rosén C: Compendium in ´"Industrial Automation - Application, Structures and Systems, IEA, Faculty of Engineering, Lund University, 2005. (The same book as in MIE080 Automation).
- 4-5 technical and scientific papers are handed out during the course.
Contact and other information
Course coordinator: Associate Professor Gunnar Lindstedt, gunnar.lindstedt@iea.lth.se
Course homepage: http://www.iea.lth.se/aks/