151-0310-00L  Model Predictive Engine Control

SemesterSpring Semester 2021
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

AbstractNonlinear Model Predictive Control (NMPC) is an advanced control algorithm that can provide significant advantages. The lecture details NMPC schemes which are used for systems with sampling times in the millisecond range. As an application examle combustion engine systems are investigated. They are characterized by fast, complex, nonlinear system dynamics.
ObjectiveLearn how to design and implement Nonlinear Model Predictive Control algorithms for challenging real-time systems. The lecture discusses the algorithmic details of NMPC and gives an overview on the topic of engine control. During the exercise sessions an NMPC controller for an engine airpath controller is developed. The entire process from simulation-based control development to the application at a real-world combustion engine is covered.
Content1) Introduction
2) Model-based control
3) Fundamentals of optimization
4) Linear MPC
5) Formulation of the optimization problem
6) Nonlinear MPC: numerical solution algorithms for real-time applications
7) Nonlinear MPC: discretization methods
8) Introduction to engine control
9) NMPC for airpath control
10) NMPC for combustion control
Lecture notesLecture slides will be provided after each lecture.
T. Albin: "Nonlinear Model Predictive Control of Combustion Engines"
LiteratureL. Guzzella / C. Onder: "Introduction to Modeling and Control of Internal Combustion Engine Systems", J. Maciejowski: "Predictive Control with Constraints"
Prerequisites / NoticeFundamental control lecture (e.g. Control System 1), Linear Algebra, Matlab

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 07.03.2021

Offered in

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