Automatic Control I
Syllabus, Bachelor's level, 1RT490
- Code
- 1RT490
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Sociotechnical Systems G2F, Technology G2F
- Grading system
- Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
- Finalised by
- The Faculty Board of Science and Technology, 23 April 2010
- Responsible department
- Department of Information Technology
Entry requirements
60 credits science/technology including Single variable calculus. Linear algebra II. Transform methods.
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.
Assessment
Written examination at the end of the course. Passed laboratory course is also required.