Academic literature on the topic 'Real-time combustion control'
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Journal articles on the topic "Real-time combustion control"
Kemal, Abid, and Craig T. Bowman. "Real-time adaptive feedback control of combustion instability." Symposium (International) on Combustion 26, no. 2 (1996): 2803–9. http://dx.doi.org/10.1016/s0082-0784(96)80119-6.
Full textWinne, Olaf, Helmut Beikirch, and Johannes Filz. "A Safety Real-Time Middleware for Combustion Control." IFAC Proceedings Volumes 46, no. 28 (2013): 286–91. http://dx.doi.org/10.3182/20130925-3-cz-3023.00054.
Full textHou, Yuchun, Zhen Huang, Xingcai Lu, Junhuan Fang, and Linlin Zu. "Fuel design real-time to control HCCI combustion." Chinese Science Bulletin 51, no. 21 (November 2006): 2673–80. http://dx.doi.org/10.1007/s11434-006-2153-6.
Full textWu, Yuh Yih, Bo Chiuan Chen, and Anh Trung Tran. "Semi-Direct Injection Engine Modeling for Real Time Control." Advanced Materials Research 347-353 (October 2011): 2504–10. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.2504.
Full textFurlong, Edward R., Douglas S. Baer, and Ronald K. Hanson. "Real-time adaptive combustion control using diode-laser absorption sensors." Symposium (International) on Combustion 27, no. 1 (January 1998): 103–11. http://dx.doi.org/10.1016/s0082-0784(98)80395-0.
Full textBarta, Jason, and Gregory James Hampson. "Real-time Combustion Diagnostics and Control for Improved Engine Management." MTZ industrial 6, no. 1 (March 2016): 26–31. http://dx.doi.org/10.1007/s40353-016-0009-3.
Full textPowell, B. K., G. P. Lawson, and G. Hogh. "Advanced Real-Time Powertrain Systems Analysis." Journal of Engineering for Gas Turbines and Power 110, no. 3 (July 1, 1988): 325–33. http://dx.doi.org/10.1115/1.3240125.
Full textBittle, Joshua A., and Timothy J. Jacobs. "A computationally efficient combustion trajectory prediction model developed for real-time diesel combustion control." International Journal of Engine Research 17, no. 2 (January 13, 2015): 246–58. http://dx.doi.org/10.1177/1468087414566513.
Full textDePape, Pieter, and Igor Novosselov. "Model-Based Approach for Combustion Monitoring Using Real-Time Chemical Reactor Network." Journal of Combustion 2018 (October 1, 2018): 1–12. http://dx.doi.org/10.1155/2018/8704792.
Full textYang, Xiaojian, and Guoming G. Zhu. "A control-oriented hybrid combustion model of a homogeneous charge compression ignition capable spark ignition engine." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 226, no. 10 (May 31, 2012): 1380–95. http://dx.doi.org/10.1177/0954407012443334.
Full textDissertations / Theses on the topic "Real-time combustion control"
Christopher, Matthew L. "Real time control of combustor and engine processes." Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/17802.
Full textJohnson, Clifford Edgar. "Adaptive control of combution instabilities using real-time modes observation." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-03232006-223052/.
Full textZinn, Ben, Committee Chair ; Glezer, Ari, Committee Member ; Shelton, Samuel, Committee Member ; Lieuwen, Tim, Committee Member ; Neumeier, Yedidia, Committee Member.
Dudley, J. W. O. "Forward in-situ combustion : Real-time mass and energy balances, reaction kinetics and control." Thesis, University of Bath, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380609.
Full textHorváth, Laura. "Closed Loop Combustion Control Demonstrator, Analysis of real-time sensory feedback and state estimation." Thesis, KTH, Maskinkonstruktion (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236517.
Full textThere is an increasing demand for improved engine control in the area of engine development in order to improve engine life cycle, reduce emissions, increase efficiency, and optimize the combustion process. Closed-loop combustion control has been investigated as a possible solution to these demands. This kind of control relies on real-time sensor information coming from the engine. Its processing is based on what feedback signal is generated to the Engine Control Unit (ECU) in order to find the optimal time for fuel injection. This creates a monitored combustion process and an injection strategy that can be updated continuously during operation. The processing of the sensor signals involves estimation of parameters that are difficult to sense in an engine environment. Examples of such parameters are the heat release, and the calculation of the phase of the engine cycle (degree of the revolving crankshaft) where ten, fifty and ninety percent of the fuel completes its combustion. These crank angle degrees can be used by the ECU as a feedback signal, enabling to change the fuel injection strategy, if needed. The values coming from the sensors also help detecting if certain parameters of the engine surpass a critical value, so malfunction can be detected. Real-time acquisition and processing of such information is a complex and heavy task in terms of computation, which makes it necessary to use an additional, fast processing unit. The compact real-time board that was used during this thesis work, containing an analog and digital input and output module, as well as an FPGA and an interface for CAN communication had the possibility to meet speed and memory requirements to perform sampling, interpolation, averaging of a certain number of cycles, calculating the feedback signal and transmitting it to the engine control unit. The results show how the real time calculations, with necessary simplifications to meet speed requirements, match the results of models with offline and non real-time calculation. It was also observed how the closed-loop combustion affected the injection strategy, combined with the existing open-loop calculation model. The findings show that extensive synchronization is needed in order to pair the engine phase with analog sensors such as the pressure sensor, which can occupy quite a large part of the memory depending on the architecture, but by considering timing requirements, memory can be saved by sequential execution. It was also observed that noise can disturb the calculations to such an extent that certain calculation models can lead to completely wrong results, so it is desirable to have a signal that is as clean as possible.
Bohlin, Henrik. "Development of a FPGA-based development platform for real-time control of combustion engine parameters." Thesis, Linköpings universitet, Fysik och elektroteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70240.
Full textGrasreiner, Sebastian. "Combustion modeling for virtual SI engine calibration with the help of 0D/3D methods." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2012. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-90518.
Full textModerne Ottomotoren spielen heute sowohl in konventionellen als auch hybriden Fahrzeugantrieben eine große Rolle. Aktuelle Konzepte sind hochvariabel bezüglich Ventilsteuerung, Kraftstoffeinspritzung und Laststeuerung und ihre Optimierungspotentiale erwachsen zumeist aus neuen Softwarefunktionen. Deren Applikation ist zeit- und kostenintensiv und soll durch virtuelle Methoden unterstützt werden. In der vorliegenden Arbeit wird ein physikalisches 0D Verbrennungsmodell für Ottomotoren aufgebaut und bis zur praktischen Anwendung geführt. Dafür wurde zuerst die Thermodynamik echtzeitfähig modelliert und im gesamten Motorenkennfeld abgeglichen. Der Aufbau eines neuen Turbulenzmodells auf Basis der quasidimensionalen k-epsilon-Gleichung ermöglicht anschließend, die veränderlichen Einflüsse globaler Ladungsbewegung auf die Turbulenz abzubilden. Für den Brennverzug wurde ein vereinfachtes Modell abgeleitet, welches den Übergang von laminarer zu turbulenter Flammenausbreitung nach der Zündung in den Vordergrund stellt. Der restliche Brennverlauf wird durch die physikalische Ermittlung der turbulenten Brenngeschwindigkeit in einem 0D Entrainment-Ansatz dargestellt. Nach Validierung aller Teilmodelle erfolgt die virtuelle Bedatung der Momentenstruktur und der Abgastemperaturfunktion für das Motorsteuergerät
Books on the topic "Real-time combustion control"
K, Mongia Rajiv, Dibble Robert W, and NASA Glenn Research Center, eds. Real-time optical fuel-to-air ratio sensor for gas turbine combustors. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.
Find full textK, Mongia Rajiv, Dibble Robert W, and NASA Glenn Research Center, eds. Real-time optical fuel-to-air ratio sensor for gas turbine combustors. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.
Find full textK, Mongia Rajiv, Dibble Robert W, and NASA Glenn Research Center, eds. Real-time optical fuel-to-air ratio sensor for gas turbine combustors. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.
Find full textReal-time optical fuel-to-air ratio sensor for gas turbine combustors. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.
Find full textBook chapters on the topic "Real-time combustion control"
"Combustion Instabilities." In Real-Time Optimization by Extremum-Seeking Control, 143–55. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471669784.ch10.
Full textZhao, Dan. "Real-time mode decomposition and proper orthogonal/dynamic mode decomposition analyses of aeroacoustics and ramjet thermoacoustic instability." In Thermoacoustic Combustion Instability Control, 673–739. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-89910-9.00008-9.
Full textPrasanth, B., Deepa Kaliyaperumal, R. Jeyanthi, and Saravanan Brahmanandam. "Real-Time Optimization of Regenerative Braking System in Electric Vehicles." In Electric Vehicles and the Future of Energy Efficient Transportation, 193–218. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7626-7.ch008.
Full textConference papers on the topic "Real-time combustion control"
Ponti, Fabrizio, Vittorio Ravaglioli, Davide Moro, and Matteo De Cesare. "Combustion Noise Real-Time Evaluation and Processing for Combustion Control." In ASME 2012 Internal Combustion Engine Division Spring Technical Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ices2012-81203.
Full textLeithgoeb, R., F. Henzinger, A. Fuerhapter, K. Gschweitl, and A. Zrim. "Optimization of New Advanced Combustion Systems Using Real-Time Combustion Control." In SAE 2003 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. http://dx.doi.org/10.4271/2003-01-1053.
Full textOhyama, Yoshishige. "Engine Control Using a Real-Time Combustion Model." In SAE 2001 World Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2001. http://dx.doi.org/10.4271/2001-01-0256.
Full textNeumeier, Y., and Ben Zinn. "Active control of combustion instabilities with real time operation of unstable combustor modes." In 34th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-758.
Full textGiuliani, Fabrice, Bernhard Wagner, Jakob Woisetschla¨ger, and Franz Heitmeir. "Laser Vibrometry for Real-Time Combustion Stability Diagnostic." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90413.
Full textFurlong, E., R. Mihalcea, M. Webber, D. Baer, and R. Hanson. "Diode laser sensors for real-time control of pulsed combustion systems." In 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-3949.
Full textPatel, Akash, Johannes Eichmeier PhD, Joachim Schwarte, and Archana Mane. "A Real-Time Chemical Equilibrium Mechanism for Control-Oriented Combustion Models." In Symposium on International Automotive Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-26-0327.
Full textCorti, Enrico, and Claudio Forte. "Spark Advance Real-Time Optimization Based on Combustion Analysis." In ASME 2010 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/icef2010-35134.
Full textHauser, Michael, Yue Li, Jihang Li, and Asok Ray. "Real-time combustion state identification via image processing: A dynamic data-driven approach." In 2016 American Control Conference (ACC). IEEE, 2016. http://dx.doi.org/10.1109/acc.2016.7525429.
Full textGeddes, D. J. "A real-time simulation of a 200 MW thermal power plant for optimising combustion control." In UKACC International Conference on Control (CONTROL '98). IEE, 1998. http://dx.doi.org/10.1049/cp:19980341.
Full textReports on the topic "Real-time combustion control"
Wagner, R. M., and K. Sisken. Real-Time Control of Diesel Combustion Quality. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/983054.
Full textWagner, Robert M. Final CRADA Report ORNL-00-0609, Real-Time Control of Diesel Combustion Quality. Office of Scientific and Technical Information (OSTI), July 2010. http://dx.doi.org/10.2172/983843.
Full textSheen, S. H., H. T. Chien, and A. C. Raptis. Advanced sensors for real-time control of advanced natural-gas reciprocating engine combustion. Office of Scientific and Technical Information (OSTI), November 2003. http://dx.doi.org/10.2172/820524.
Full textSheen, S. H., H. T. Chien, and A. C. Raptis. Advanced sensors for real-time control of combustion in advanced natural-gas reciprocating engines. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/791172.
Full textZinn, Ben T., Eugene Lubarsky, and Yedidia Neumeier. Real-Time Control for Optimal Liquid Rocket Combustor Performance. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada443134.
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