Thivaharan Albin Rajasingham: Catalogue data in Spring Semester 2021

Name Dr. Thivaharan Albin Rajasingham
DepartmentMechanical and Process Engineering
RelationshipLecturer

NumberTitleECTSHoursLecturers
151-0310-00LModel Predictive Engine Control Restricted registration - show details
Number of participants limited to 55.
4 credits2V + 1UT. Albin Rajasingham
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