Entry requirements

Courses of at least 90 credits at first cycle including the following knowledge/courses. Basic knowledge in the subject of Automatic control. Concepts such as transfer function, Bode plot, poles and zeros, impulse response and step response, feedback and PID controllers should be known. Sound knowledge on the Laplace transform and experience with Matlab is also presumed. These prerequisites correspond to the course R0002E or R0003E. Alternative: Alternative to completed courses can be corresponding knowledge acquired through work within the processindustry or electronics sector.

More information about English language requirements


Selection C

Course Aim

The course aim is for students to acquire in-depth knowledge of feedback systems, their design and their use in control engineering applications.

The students should be able to:

  • demonstrate broad knowledge of control engineering methods and terminology.
  • demonstrate broad knowledge of mathematical methods to analyze dynamic systems
  • demonstrate the ability to model dynamic systems based on empirical data
  • use standard methods for designing and analyzing controllers.
  • demonstrate an ability to, in a group,simulate, analyze, evaluate and implement controllers for a real process and to report on this work, both orally and in writing
  • demonstrate the ability to identify  constraintsof simple controllers and the need for more advanced methods.
  • show insight into how the use of automaticcontrol can contribute to sustainable development through reduced consumption of resources.
Automatic Control is the Science of controlling processes. A typical example of is the cruise control in a car. In this case the car is the \"process\" and the cruise controller varies the throttle lever (\"input signal\") in order to maintain constant speed (\"output signal\") despite slopes and wind gusts (\"disturbance\"). Other common examples can be found in the process industry, where common tasks are to control pressure and temperature, and in communication where it is desirable to control data rates and transmitted power. Control theory is, however, not limited to technical systems but may also be applied in e.g. economy and medicine. Automatic control is generally used for maintaining quality while minimizing consumption of resources such as energy or raw material. This is our standard course in Automatic Control and covers the most common classical methods for analysis and design of feedback control systems for a broad spectrum of technical processes. The course provides detailed knowledge on the subject, sufficient for non-specialists, and gives a broad and necessary base for further studies in the subject. The course is started with a solid treatment of some basic control theoretic concepts, some known from previous courses. Examples are e.g. poles and zeros, stability, and Bode diagrams. Gradually, new concepts and tools will be introduced, such as the Nyquist criterion for stability analysis, state feedback, and control of sampled systems. To confirm the theoretical knowledge obtain during the course, lab work is performed, e.g. on a model of an overhead crane that is set up on the campus. The task here is to design a controller in order to move a cargo, suspended in a wire, from one point to another without oscillation.
The teaching consists of lectures, problem seminars, and laboratory work. The labs are constituted by simulation exercises and controlling a real-world process, the overhead crane model in the foyer of the A-building