Course content

The basics and terminology of control theory. Introduction to differential equations. Mathematical models of some simple and well known physical processes are derived and presented. Control and simulations of these models will be demonstrated. Modeling with block diagrams. Introduction to Simulink. Introduction to dynamical systems.

Learning outcome

Knowledge: Knowledge of the general architecture of a control system. Knowledge of modeling of physical systems using first and second order differential equations. Knowledge of controllers with P, I and D-action. Basic knowledge of the effects of nonlinearities on control systems. Knowledge of simulation of dynamical systems. Knowledge of control principles such as feedback and feed forward. Skills: Being able to analyze a dynamical system consisting of first or second order differential equations. Being able to design a (PID) controller for such a system. Being able to simulate such a system. General competence: The student should be able to communicate technical issues with both experts and laymen. Basic understanding of systems.

Learning methods and activities

Lectures, problem sets, laboratory assignments and a project work. Three out of five problem sets, the laboratory projects and the project work must be approved to enter the final exam.

Compulsory assignments

• Mandatory excercises and laboratory work

Recommended previous knowledge

None.

Course materials

Open access lecture notes published by the department. J.T. Gravdahl, "Kybernetikk introduksjon, innføring i dynamikk og reguleringsteknikk", last edition