On completion of the course, the student 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. 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.
Lectures, problem solving sessions and laboratory work. Guest lecture.
Written examination at the end of the course. Passed laboratory course is also required.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.