151-0310-00L Model Predictive Engine Control
|Spring Semester 2020
|T. Albin Rajasingham
|yearly recurring course
|Language of instruction
|Number of participants limited to 55.
|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"
|Prerequisites / Notice
|Engine Systems (recommended).