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Dynamic Mapping of ...
Dynamic Mapping of Diesel Engine through System identification
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- Henningsson, Maria (author)
- Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH
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- Ekholm, Kent (author)
- Lund University,Lunds universitet,Förbränningsmotorer,Institutionen för energivetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Combustion Engines,Department of Energy Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Strandh, Petter (author)
- Lund University,Lunds universitet,Förbränningsmotorer,Institutionen för energivetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Combustion Engines,Department of Energy Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Tunestål, Per (author)
- Lund University,Lunds universitet,Förbränningsmotorer,Institutionen för energivetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Combustion Engines,Department of Energy Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Johansson, Rolf (author)
- Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH
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Alberer, D. (editor)
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Hjalmarsson, H. (editor)
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del Re, L. (editor)
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(creator_code:org_t)
- London : Springer London, 2012
- 2012
- English.
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In: Identification for Automotive Systems. - London : Springer London. - 0170-8643. ; LNCIS 418, s. 223-239
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Subject headings
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- From a control design point of view, modern diesel engines are dynamic, nonlinear, MIMO systems. This paper presents a method to find low-complexity black-box dynamic models suitable for model predictive control (MPC) of NOx and soot emissions based on on-line emissions measurements. A four-input-five-output representation of the engine is considered, with fuel injection timing, fuel injection duration, exhaust gas recirculation (EGR) and variable geometry turbo (VGT) valve positions as inputs, and indicated mean effective pressure, combustion phasing, peak pressure derivative, NOx emissions, and soot emissions as outputs. Experimental data were collected on a six-cylinder heavy-duty engine at 30 operating points. The identification procedure starts by identifying local linear models at each operating point. To reduce the number of dynamic models necessary to describe the engine dynamics, Wiener models are introduced and a clustering algorithm is proposed. A resulting set of two to five dynamic models is shown to be able to predict all outputs at all operating points with good accuracy.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Annan maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)
Keyword
- Combustion
- Engine
- Control
- Diesel
- System Identification
Publication and Content Type
- kon (subject category)
- ref (subject category)
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