COURSE SYLLABUS

Automatic Control 7.5 credits

Reglerteknik
Second cycle, R7003E
Version
Course syllabus valid: Autumn 2020 Sp 1 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Syllabus established
by the Department of Computer Science and Electrical Engineering 28 Feb 2007

Last revised
by Jonny Johansson, HUL SRT 21 Feb 2020

Education level
Second cycle
Grade scale
G U 3 4 5
Subject
Control Engineering
Subject group (SCB)
Automation Technology
Main field of study
Maintenance Engineering, Computer Science and Engineering

Entry requirements

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 - Modelling and Control or R0003E - Objectoriented Modeling and Simulation. 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

The selection is based on 20-285 credits



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
  • 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 constraints of simple controllers and the need for more advanced methods.
  • show insight into how the use of automatic control can contribute to sustainable development through reduced consumption of resources .

Contents
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 focuses on three main topics:
  • state-space systems: linearization and transformations from continuous-time to discrete-time
  • state-space feedback control of continuous-time, linear and time invariant systems
  • digital control, i.e., control of discrete-time systems;
To confirm the theoretical knowledge obtained during the course, laboratory work is performed on an experimental setup, e.g. a model of an overhead crane or a small-scale Segway.

Realization
The teaching is partly conducted in a flipped-classrom style with problem seminars but also with traditional lectures.
The achieved knowledge will be directly applied in lab work and project assignments on an experimental setup in the form of a mini-Segway that will be made available to the students during the course. This work is performed in groups of no more than three students and accounted for with written reports and a final demonstration.

Examination

Written exam with differentiated grades and approved lab work and project assignments. 
Students with impairments can make individual agreements with the teacher on how
to perform exam, lab work and project assignments.


Remarks
The course had earlier the code SMR057, but got a new code when the level was changed. The course can therefore not be combined with the credits for SMR057.

Transition terms
Sustainable development has been implemented in this course from Autumn semester 2010.

Examiner
Khalid Atta

Literature. Valid from Autumn 2016 Sp 1 (May change until 10 weeks before course start)
Franklin, G. F, et al: Feedback control of dynamic systems. Pearson Prentice Hall

Course offered by
Department of Computer Science, Electrical and Space Engineering

Modules
CodeDescriptionGrade scaleHPStatusFrom periodTitle
0001Written examG U 3 4 54.50MandatoryA07
0002Laboratory workU G#3.00MandatoryA07

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.