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Citation link: http://nbn-resolving.de/urn:nbn:de:gbv:46-00104021-10
00104021-1.pdf
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Modellbasierte optimale Mehrgrößenregelung eines aufgeladenen Dieselmotors mittels Methoden der nichtlinearen Optimierung


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Other Titles: Optimal Multivariable Feedback Control of a turbocharged Diesel air system using Nonlinear Optimisation Methods
Authors: Echim, Mitja 
Supervisor: Büskens, Christof
1. Expert: Büskens, Christof
2. Expert: Bohn, Christian 
Abstract: 
Considering the increasingly restrictive emission standards for diesel engines, the automotive industry is in need of innovative ideas and solutions for engine control problems. This work addresses the challenge of determining optimal controllers for multiple, mutually dependent actuators in the engine gas system. The problem is posed as a parameter identification problem for a system of ordinary differential equations that model the gas system against measurements of an actual engine. The standard approach is to apply an NLP solver to a shooting technique, however this gives rise to several local minima when applied to large data sets. An alternative approach is studied, which performs the integration of the discretised ode system within the optimisation. The resulting high-dimensional optimisation problem is solved by a sparse NLP solver. Based on the nonlinear dynamic model a linear-quadratic regulator is designed and validated with a rapid prototyping system on a test vehicle.
Keywords: Nonlinear Parameteridentification, LQ-Control, Optimal Control, Modelbased Control, Multivariable Feedback Control, Turbocharged Diesel Engine, Dynamic Modelling
Issue Date: 2-Oct-2014
Type: Dissertation
URN: urn:nbn:de:gbv:46-00104021-10
Institution: Universität Bremen 
Faculty: FB3 Mathematik/Informatik 
Appears in Collections:Dissertationen

  

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