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Automation

Automation (5 hec)
 
The physical meetings of this course will be held in Uppsala March 17-18 and April 28-29, 2020. On both meetings we plan to start around 10 AM on the first day and finish around 15 PM on the second day. Lunches and coffee will be free for the four days. It is possible to only take parts of the course/credits, for example, by skipping applications to wastewater treatment plants. Apart from the scheduled lectures, the course will consists of various forms of how home work (including computer exercises/simulations and an automatic control related project).
 
Goals of the course

Automation techniques are all around us. A few examples are cars (cruise controllers) , mobile phones (power control) , buildings (climate control), and process industries including treatment plants for water and wastewater. Most of the control problems can be solved using a common technology often named automatic control. Automatic control has a solid theoretical base and is closely connected to dynamic systems. To understand automatic control it is therefore necessary to have some understanding of dynamic systems which will be the starting point of this course.


At the end of the course the student should be able to:

  • Understand the basic properties of a linear time invariant (LTI) dynamic system: differential equations, transfer function, stability, and the frequency function.
  • Describe common process models used in automatic control design.
  • Discuss the fundamentals ideas behind automatic control including benefits and limitations.
  • Understand the concept of feedback and feedforward, including block diagrams, open and closed loop systems.
  • Understand a PID controller including some tuning methods and practical aspects.
  • Understand various extension of PID control: gain scheduling, cascade control, feedforward control. Basic understanding of Model Predictive Control.
  • Formulate and apply control problems connected to wastewater treatment plants.
  • Use Matlab for analysing LTI systems, implementing controllers and evaluate control performance.
  • Use a simulator for analysing control strategies applied to wastewater treatment processes.
  • Basic understanding of methods used in Automation
  • Formulate and implement a control project documented in a written report.