Syllabus for Automatic Control I

Reglerteknik I

A revised version of the syllabus is available.

  • 5 credits
  • Course code: 1RT490
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Sociotechnical Systems G2F, 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: 2009-03-16
  • Established by: The Faculty Board of Science and Technology
  • Revised: 2012-08-07
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 27, 2012
  • Entry requirements: 60 credits science/technology including Single variable calculus. Linear algebra II. Transform methods.
  • Responsible department: Department of Information Technology

Learning outcomes

Students who pass the course should be able to

  • define basic concepts in automatic control
  • determine relations between models of linear dynamic systems in form of differential equations, state space models, transient responses, transfer functions and frequency responses
  • analyse linear systems with respect to stability, steady state properties, controllability and observability, and fastness and damping
  • evaluate closed loop systems with respect to stability, as well as robustness against and sensitivity for model errors and disturbances
  • interpret and apply graphical methods and tools like block diagrams, root locus, Bode and Nyquist diagrams
  • understand the function of simple controllers (PID controllers, lead-lag filters, state feedback) and controller structures (feedforward and cascade control)
  • design simple controllers from given specifications
  • understand and design observers for estimating the states in state space models

Content

Modelling and mathematical description of dynamic systems in the time and frequency domain:
Impulse response, step response, transfer function, Bode and Nyquist diagrams, state space description. Estimation of states using observers. Methods for stability analysis including the Nyquist criterion.
Control strategies:
PID controller, lead-lag design, state space feedback. Robustness of feedback systems. Specification and synthesis of control systems.
Laboratory work:

  • Computer aided design, simulation and analysis using the program package MATLAB.
  • Laboratory experiments.

Instruction

Lectures, problem solving sessions and laboratory work. Guest lecture.

Assessment

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

Syllabus Revisions

Reading list

The reading list is missing. For further information, please contact the responsible department.

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