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.
- 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.
- 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
Lecture slides will be provided after each lecture.
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).
Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)