TEL240 Control Engineering and Automation
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Showing course contents for the educational year 2022 - 2023 .
Course responsible: Finn Aakre Haugen, Antonio Candea Leite
Teachers: Lars Grimstad
ECTS credits: 10
Faculty: Faculty of Science and Technology
Teaching language: NO
(NO=norsk, EN=Engelsk)
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in Spring parallel. This course has teaching and evaluation in Spring parallel.
Course frequency: Annually
First time: Study year 2008-2009
Course contents:
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 and OpenModelica in the theoretical parts of the course, and LabVIEW and Matlab in laboratory assignments.
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.
Learning activities:
Lectures, theoretical exercises, simulations, laboratory work, self study.
Teaching support:
Guidance by the course assistant(s) and the course teacher.
Syllabus:
Finn Aakre Haugen: Modeling, Simulation and Control, edition January 2022. (Free PDF document.)
Prerequisites:
FYS235 - Electronics/FYS230 - Electrical engineering, MATH113 - Linear algebra and linear differential equations, or basic electronics and mathematics at university level (Matrices, Differential equations and complex numbers, The Laplace transformation).
Recommended prerequisites:
None except the required prerequisites for the course.
Mandatory activity:
Four mandatory assignments altogether comprising simulation, programming and laboratory work must be approved to get access to the exam.
Assessment:
Individual exam on campus (multiple choice exam) on the student's own PC. Grade rule: A-F. Duration: 3 hours. Aids: A2, access to PDF files on personal computer. Mandatory requirements: The work requirements must be approved to sit for the exam.
Nominal workload:
Approx. 250 hours.
Entrance requirements:
Special requirements in Science
Type of course:
Mainly 4 hours of lectures and 2 hours of guidance each week. There may be a separate timetable for the laboratory assignments.
Examiner:
An external examiner approves the exam assignments and collaborates with the course teacher (internal examiner) on determining the grades.
Allowed examination aids: A2 No calculator, other aids as specifiedAccess to PDF files on personal computer.
Examination details: Written exam: Letter grades