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.



Courses

NumberTitleHoursLecturers
151-0310-00 VModel Predictive Engine Control2 hrs
Fri08:15-10:00ML F 38 »
T. Albin Rajasingham
151-0310-00 UModel Predictive Engine Control1 hrs
Fri12:15-13:00LFV E 41 »
T. Albin Rajasingham

Catalogue data

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).

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersT. Albin Rajasingham
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 30 minutes
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places55 at the most
Waiting listuntil 01.03.2020

Offered in

ProgrammeSectionType
Energy Science and Technology MasterEnergy Flows and ProcessesWInformation
Mechanical Engineering MasterRobotics, Systems and ControlWInformation