Thivaharan Albin Rajasingham: Catalogue data in Spring Semester 2021 |
Name | Dr. Thivaharan Albin Rajasingham |
Department | Mechanical and Process Engineering |
Relationship | Lecturer |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
151-0310-00L | Model Predictive Engine Control Number of participants limited to 55. | 4 credits | 2V + 1U | T. Albin Rajasingham | |
Abstract | Nonlinear 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. | ||||
Objective | Learn 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. | ||||
Content | 1) 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 notes | Lecture slides will be provided after each lecture. T. Albin: "Nonlinear Model Predictive Control of Combustion Engines" | ||||
Literature | L. Guzzella / C. Onder: "Introduction to Modeling and Control of Internal Combustion Engine Systems", J. Maciejowski: "Predictive Control with Constraints" | ||||
Prerequisites / Notice | Fundamental control lecture (e.g. Control System 1), Linear Algebra, Matlab |