Course content

Mathematical modeling: Models based on state-space, transfer functions, networks models with unilateral interconnections. Analysis based on frequency response, energy-based methods and passivity. Signal-flow versus energy-flow for interconnection of models. Development and interconnection of subsystem models in a modular approach to modeling. Models for electrical motors, hydraulics, friction, vehicles and manipulators, balance equations for mass. momentum and energy in control volume, isentropic gas dynamics, and compressor dynamics. Simulation of state-space models, Runge-Kutta methods, stiff systems, stability. Brief introduction to the simulation of partial differential equations using finite elements (FEM) and finite volumes (CFD).

Learning outcome

The goal of the course is that the students should learn methods for the modeling and simulation of physical plants for use in control applications.

Learning methods and activities

Lectures, compulsory problem sets and computer exercises. 8 approved problem sets are required, whereof 3 are compulsory computer exercises. If there is a re-sit examination, the examination form may be changed from written to oral.

Compulsory assignments

• Exercises

Recommended previous knowledge

TTK4105 Control Systems.

Course materials

To be announced in class.

Credit reductions