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Nonlinear System Id...
Nonlinear System Identification and Control Applied to Selective Catalytic Reduction Systems
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- Tayamon, Soma, 1985- (författare)
- Uppsala universitet,Avdelningen för systemteknik,Reglerteknik
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- Carlsson, Bengt, Professor (preses)
- Uppsala universitet,Avdelningen för systemteknik
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- Wigren, Torbjörn, Adj. Professor (preses)
- Uppsala universitet,Avdelningen för systemteknik
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- Egardt, Bo, Professor (opponent)
- Chalmers University of Technology
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(creator_code:org_t)
- ISBN 9789155489892
- Uppsala : Acta Universitatis Upsaliensis, 2014
- Engelska 238 s.
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Abstract
Ämnesord
Stäng
- The stringent regulations of emission levels from heavy duty vehicles create a demand for new methods for reducing harmful emissions from diesel engines. This thesis deals with the modelling of the nitrogen oxide (NOx) emissions from heavy duty vehicles using a selective catalyst as an aftertreatment system, utilising ammonia (NH3) for its reduction. The process of the selective catalytic reduction (SCR) is nonlinear, since the result of the chemical reactions involved depends on the load operating point and the temperature.The purpose of this thesis is to investigate different methods for nonlinear system identification of SCR systems with control applications in mind. The main focus of the thesis is on finding suitable techniques for effective NOx reduction without the need of over dosage of ammonia. By using data collected from a simulator together with real measured data, new black-box identification techniques are developed. Scaling and convergence properties of the proposed algorithms are analysed theoretically. Some of the resulting models are used for controller development using e.g. feedback linearisation techniques, followed by validation in a simulator environment. The benefits of nonlinear modelling and control of the SCR system are highlighted in a comparison with control based on linear models of the system. Further, a multiple model approach is investigated for simultaneous control of NOx and tailpipe ammonia. The results indicate an improvement in terms of ammonia slip reduction in comparison with models that do not take the ammonia slip into account. Another approach to NOx reduction is achieved by controlling the SCR temperature using techniques developed for LPV systems. The results indicate a reduction of the accumulated NOx.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Nonlinear identification
- nonlinear control
- selective catalytic reduction
- NOx reduction
- recursive prediction error method
- feedback linearisation
- multiple-model
- Elektroteknik med inriktning mot reglerteknik
- Electrical Engineering with specialization in Automatic Control
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