Syllabus for Introduction to Computer Control Systems

Introduktion till datorbaserade reglersystem

Syllabus

  • 5 credits
  • Course code: 1RT485
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Technology G2F

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2010-03-16
  • Established by:
  • Revised: 2018-08-30
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2019
  • Entry requirements:

    60 credits in science/engineering including Single Variable Calculus and Linear Algebra II

  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course, the student should be able to:

  • define basic concepts in automatic control
  • determine relations between different model representations
  • analyse linear time-invariant systems with respect to relevant properties
  • design and implement simple controllers

Content

System models: State-space forms and the solution of the state-space equation in discrete and continuous time. Sampling. Transfer functions and transfer operators. Model transformations from transfer functions to state-space models and vice versa.

System properties: Controllability and observability. Static gain. Step and impulse responses in discrete and continuous time. Frequency domain properties (connection to sampling). Stability in discrete and continuous time; asymptotic stability, bounded-input bounded-output stability, the Nyquist criterion.

Controller design: Pole placement in state-space form. State feedback with observer. PID controllers. Stability margins. Sensitivity functions. The notion of robustness. Computer implementation (sampling, aliasing).

Instruction

Lectures, problem solving sessions and laboratory work.

Assessment

Written examination at the end of the course. Passed laboratory course is also required.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Syllabus Revisions

Reading list

Reading list

Applies from: Autumn 2019

Some titles may be available electronically through the University library.

  • Glad, Torkel; Ljung, Lennart Reglerteknik : grundläggande teori

    4., [omarb.] uppl.: Lund: Studentlitteratur, 2006

    Find in the library

  • Åström, Karl Johan; Murray, Richard M. Feedback systems : an introduction for scientists and engineers

    Princeton, N.J.: Princeton University Press, cop. 2008

    Find in the library

  • Glad, Torkel; Ljung, Lennart Control theory : multivariable and nonlinear methods

    London: Taylor & Francis, 2000

    Find in the library

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