Syllabus for Automatic Control 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,
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:
- 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
- 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: 2014-04-28
- Revised by: The Faculty Board of Science and Technology
- Applies from: Spring 2015
60 credits science/technology including Single variable calculus. Linear algebra II. Transform methods.
- Responsible department: Department of Information Technology
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
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.
PID controller, lead-lag design, state space feedback. Robustness of feedback systems. Specification and synthesis of control systems.
- Computer aided design, simulation and analysis using the program package MATLAB.
- Laboratory experiments.
Lectures, problem solving sessions and laboratory work. Guest lecture.
Written examination at the end of the course. Passed laboratory course is also required.
Applies from: Autumn 2014
Some titles may be available electronically through the University library.
Reglerteknik : grundläggande teori
4., [omarb.] uppl.: Lund: Studentlitteratur, 2006