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TEL240 Control Engineering and Automation

Credits (ECTS):10

Course responsible:Ibrahim Abdelfattah Abdelhameed

Campus / Online:Taught campus Ås

Teaching language:Norsk

Course frequency:Annually

Nominal workload:Approx. 250 hours.

Teaching and exam period:The course has teaching and evaluation in Spring parallel.

About this course

Dynamic systems: Mathematical modeling with differential equations, state space models and transfer functions. Process dynamics. Stability analysis. Frequency response analysis. Programming of simulators for dynamic systems.

Control: Motivation for control. Feedback control with PID controller. Documentation of control systems with block diagrams and piping and instrumentation diagrams. Components in the control loop, including industrial automation equipment, actuators and sensors. PID controller tuning. Feedforward control. Cascade control. Ratio control. Stabilizing control of process plants. Factors affecting the stability of a control loop. Stability margins. State estimation with Kalman Filter. Model-based control with Inverse Dynamics Control, Linear Quadratic (LQ) control and Model-predictive Control (MPC). Logical and sequential control. PLC systems (programmable logic control). Programming of simulators for control systems.

Software: Python, OpenModelica and LabVIEW.

Learning outcome

Students should have acquired knowledge about and skills in applying systems theory to dynamical systems, different models for representation, calculation of time responses and analysis of dynamics. The students should also have knowledge about and skills in applying the most used methods for analysis and design of control systems, including the choice of a controller and choosing control parameters. Furthermore the students should have gained key knowledge about methods and be skilled in the use of computers and automated systems for controlling physical processes. Students will have gained an understanding of the many reasons for choosing automated processes as an alternative to the use of manual labour force.
  • Lectures, theoretical exercises, simulations, laboratory work, self study.
  • Guidance by the course assistant(s) and the course teacher.
  • Basic knowledge in linear algebra (calculations with matrices and vectors), differential equations, complex numbers, and Laplace transform.
  • None except the required prerequisites for the course.

  • Individual exam on campus on the student's own PC. Grade rule: A-F. Duration: 3 hours.

    Mandatory requirements: The work requirements must be approved to sit for the exam.



    Written exam Grading: Letter grades Permitted aids: C1 All types of calculators, other aids as specified
  • An external examiner approves the exam assignments and collaborates with the course teacher (internal examiner) on determining the grades.
  • Four mandatory assignments altogether comprising simulation, programming and laboratory work must be approved to get access to the exam.
  • None
  • Mainly 4 hours of lectures and 2 hours of guidance each week. There may be a separate timetable for the laboratory assignments.
  • None