State, transfer functions, energy functions, passivity. Modeling of electric motors (DC / AC). Motor with resilience and death. Lagrange dynamics. Hydraulic systems and transmission lines. Mass Balance and impulse balance
Order, test systems. Euler methods, network models, explicit and implicit Runge-Kutta methods, stability, Padé-approximations, automatic adjustment of step length, implementation issues, rose Brock and multi-step methods, implementation, bdf and differential-algebraic methods, the use of SimulationX for larger mechanical / hydraulic systems
Various projects carried out in groups of two students. Typical projects are in the oil & gas industry, drilling, load / unload equipment and process industries.
On successful completion of the course, the student should be able to
put the topic up mathematical models of different systems and implement these models in a simulation package (MATLAB / Simulink and SimulationX)
use simulation models as a design tool to test, among other features, stability and performance.
Teaching methods and workload
Lectures, exercises and laboratory work including project can be implemented individually or in groups of two students.
The course evaluation is completed as a midterm evaluation in accordance with the provisions listed in the Quality Assurance System Chapter 2.1.1. A final evaluation may be completed as required.
Assessment methods and criteria
3-hour individual written examination (60 % of final grade) and project report with compulsory presentation (40 % of final grade). Graded assessment.
Offered as Single Standing Module
Level of course
Year of study
First year of master's programme..
Name of lecturer
Programme coordinator Kjell G. Robbersmyr/Professor Geir Hovland.