The course gives an introduction to
methods for modeling and simulation of physical processes, for use in control
applications. 1. Models, model properties and modeling tools: The student will
know the most common model classes, and have knowledge of some central model
properties that are useful for control systems, and know principles for, and
have some practical exposure of, high level modeling tools (both block-oriented
(Simulink) and equation/object-oriented (Modelica/Dymola)). 2. Numerical simulation:
The student should be able to simulate a state-space model in a computer. This
entails implementation of simple explicit ODE methods, and to know principles
of state-of-the-art ODE solvers (e.g. as implemented in Matlab). 3. Rigid body
dynamics: The student should be able to write down equations of motion for
simple systems of rigid bodies, which gives a basis for modeling of mechanical
systems such as robots, marine vessels, cars, and airplanes. 4. Balanse
laws/fluid systems:
The student should learn the principles of balance laws, and use them to
formulate simple models of process systems (e.g. new energy, oil- and gas
production, chemical process industry).
