151-0310-00L Model Predictive Engine Control
| Semester | Frühjahrssemester 2020 |
| Dozierende | T. Albin Rajasingham |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kommentar | Number of participants limited to 55. |
| 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). |