Thivaharan Albin Rajasingham: Katalogdaten im Frühjahrssemester 2020
|Name||Herr Dr. Thivaharan Albin Rajasingham|
|Departement||Maschinenbau und Verfahrenstechnik|
|151-0310-00L||Model Predictive Engine Control |
Number of participants limited to 55.
|4 KP||2V + 1U||T. Albin Rajasingham|
|Kurzbeschreibung||For efficient and stable operation of an internal combustion engine a multitude of complex control tasks have to be handled. In this lecture the application of model predictive control for these control challenges is introduced.|
|Lernziel||- Learn how to design and implement model predictive control algorithms for the example system “combustion engine”. Get to know the entire process from simulation-based control development to the application at a real-world combustion engine.|
- Deepen the knowledge concerning the necessary control algorithms for a combustion engine.
|Inhalt||- Physical phenomena and models for processes of the combustion engine such as air path and fuel path|
- Analysis of the control tasks arising in engine systems
- Case studies for the application of model predictive control for combustion engines with the goal to handle the complex, multivariable system dynamics
- Fundamentals of the implementation of model predictive control
|Skript||Lecture slides will be provided after each lecture.|
|Literatur||L. Guzzella / C. Onder: "Introduction to Modeling and Control of Internal Combustion Engine Systems", J. Maciejowski: "Predictive Control with Constraints"|
|Voraussetzungen / Besonderes||Engine Systems (recommended).|