Automotive Engineering

Digital Control Engineering

Integrated course, 3.00 ECTS


Course content

Design of linear digital and continuous feedback and control systems in the time domain. Quality criteria for control systems. State space control and observers. Exercises using modern CAE-Tools (Matlab, Simulink) support the lecture and give practical applications.

Learning outcomes

State space representation, solution of linear ordinary differential equations, model-based and heuristic controllers, state feedback control and observers. Time discretization and the Shannon theorem. Students know about disturbance observers and the linearization technique.

Recommended or required reading and other learning resources / tools

J. Proakis, D. Manolakis, Digital Signal Processing. Prentice Hall, 1996
T. Moon, W. Stirling, Mathematical Methods and Algorithms for Signal Processing. Prentice Hall, 2000
S. Stearns, R. David, Signal Processing Algorithms in Matlab. Prentice Hall, 1996;
Schaum's Outline of Signals and Systems, McGraw-Hill
Vehicle Systems Dynamics, Taylor&Francis

Mode of delivery

3 ECTS Integrated course: lectures and computer-based tutorials

Prerequisites and co-requisites

Statistics, basics in measurement engineering and electrical engineering, Matlab/Simulink; Newton's mechanics; description of continouus systems using transfer functions. State Space representation; Laplacian transformation; knowledge of transfer functions typically used in engineering; stability of linear SISO systems using Bode chart.

Assessment methods and criteria

Written exam and term paper