151-0310-00L  Model Predictive Engine Control

SemesterSpring Semester 2020
LecturersT. Albin Rajasingham
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 55.

AbstractFor 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.
Objective- 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.
Content- 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 notesLecture slides will be provided after each lecture.
LiteratureL. Guzzella / C. Onder: "Introduction to Modeling and Control of Internal Combustion Engine Systems", J. Maciejowski: "Predictive Control with Constraints"
Prerequisites / NoticeEngine Systems (recommended).