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 to completed courses can be corresponding knowledge acquired
through work within the processindustry or electronics sector.
More information about English language requirements
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:
broad knowledge of
- demonstrate broad knowledge
methods to analyze
- demonstrate the ability
on empirical data
- use standard
- demonstrate an ability to, in a group,simulate, analyze, evaluate and implement
and to report on this work, both
and in writing
- demonstrate the ability to identify
constraintsof simple controllers
and the need for
more advanced methods.
insight into how the
can contribute to sustainable
reduced consumption of resources.
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
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