28 research outputs found

    Magnetische Lagerung des starren Rotors

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    Analyse linearer Systeme im Zeitbereich

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    Analyse stochastischer linearer dynamischer Systeme im Zeitbereich

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    Behandlung regelungstechnischer Probleme im Zeitbereich

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    Digitale Regelung

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    Control of diesel engines using NO x

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    Struktureigenschaften linearer Systeme

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    Behandlung einfacher regelungstechnischer Probleme im Frequenzbereich

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    Magnetische Lagerung eines einfachen starren Körpers

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    Optimal control of a turbocharged direct injection diesel engine by direct method optimization

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    This is the author¿s version of a work that was accepted for publication in International Journal of Engine Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published as https://doi.org/10.1177/1468087418772231[EN] This work studies the effect and performance of an optimal control strategy on engine fuel efficiency and pollutant emissions. An accurate mean value control-oriented engine model has been developed and experimental validation on a wide range of operating conditions was carried out. A direct optimization method based on Euler's collocation scheme is used in combination with the above model in order to address the optimal control of the engine. This optimization method provides the optimal trajectories of engine controls (fueling rate, exhaust gas recirculation valve position, variable turbine geometry position and start of injection) to reproduce a predefined route (speed trajectory including variable road grade), minimizing fuel consumption with limited NOx emissions and a low soot stamp. This optimization procedure is performed for a set of different NOx emission limits in order to analyze the trade-off between optimal fuel consumption and minimum emissions. Optimal control strategies are validated in an engine test bench and compared against engine factory calibration. Experimental results show that significant improvements in both fuel efficiency and emissions reduction can be achieved with optimal control strategy. Fuel savings at about 4% and less than half of the factory NOx emissions were measured in the actual engine, while soot generation was still low. Experimental results and optimal control trajectories are thoroughly analyzed, identifying the different strategies that allowed those performance improvements.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Ministerio de Economia y Competitividad through project TRA2016-78717-R.Luján, JM.; Guardiola, C.; Pla Moreno, B.; Reig, A. (2019). Optimal control of a turbocharged direct injection diesel engine by direct method optimization. International Journal of Engine Research. 20(6):640-652. https://doi.org/10.1177/1468087418772231640652206Payri, F., Luján, J., Guardiola, C., & Pla, B. (2014). A Challenging Future for the IC Engine: New Technologies and the Control Role. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles, 70(1), 15-30. doi:10.2516/ogst/2014002Hagelauer, P., & Mora-Camino, F. (1998). A soft dynamic programming approach for on-line aircraft 4D-trajectory optimization. European Journal of Operational Research, 107(1), 87-95. doi:10.1016/s0377-2217(97)00221-xHiggins, A., Kozan, E., & Ferreira, L. (1996). Optimal scheduling of trains on a single line track. Transportation Research Part B: Methodological, 30(2), 147-161. doi:10.1016/0191-2615(95)00022-4Darby, C. L., & Rao, A. V. (2011). Minimum-Fuel Low-Earth Orbit Aeroassisted Orbital Transfer of Small Spacecraft. Journal of Spacecraft and Rockets, 48(4), 618-628. doi:10.2514/1.a32011Nilsson, T., Froberg, A., & Aslund, J. (2012). Optimal Operation of a Turbocharged Diesel Engine during Transients. SAE International Journal of Engines, 5(2), 571-578. doi:10.4271/2012-01-0711Asprion, J., Chinellato, O., & Guzzella, L. (2014). Optimal Control of Diesel Engines: Numerical Methods, Applications, and Experimental Validation. Mathematical Problems in Engineering, 2014, 1-21. doi:10.1155/2014/286538Guardiola, C., Pla, B., Bares, P., & Waschl, H. (2016). Adaptive calibration for reduced fuel consumption and emissions. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 230(14), 2002-2014. doi:10.1177/0954407016636977Luján, J. M., Guardiola, C., Pla, B., & Reig, A. (2015). Switching strategy between HP (high pressure)- and LPEGR (low pressure exhaust gas recirculation) systems for reduced fuel consumption and emissions. Energy, 90, 1790-1798. doi:10.1016/j.energy.2015.06.138Guardiola, C., Pla, B., Blanco-Rodríguez, D., & Reig, A. (2013). Modelling driving behaviour and its impact on the energy management problem in hybrid electric vehicles. International Journal of Computer Mathematics, 91(1), 147-156. doi:10.1080/00207160.2013.829567Asprion, J., Chinellato, O., & Guzzella, L. (2013). Optimisation-oriented modelling of the NOx emissions of a Diesel engine. Energy Conversion and Management, 75, 61-73. doi:10.1016/j.enconman.2013.05.039Bellman, R. (1954). The theory of dynamic programming. Bulletin of the American Mathematical Society, 60(6), 503-516. doi:10.1090/s0002-9904-1954-09848-8Vinter, R. (2010). Optimal Control. doi:10.1007/978-0-8176-8086-2Tieu, D., Cluett, W. R., & Penlidis, A. (1995). A comparison of collocation methods for solving dynamic optimization problems. Computers & Chemical Engineering, 19(4), 375-381. doi:10.1016/0098-1354(94)00064-uBetts, J. T. (2010). Practical Methods for Optimal Control and Estimation Using Nonlinear Programming. doi:10.1137/1.9780898718577Hinze, M., & Rösch, A. (2011). Discretization of Optimal Control Problems. Constrained Optimization and Optimal Control for Partial Differential Equations, 391-430. doi:10.1007/978-3-0348-0133-1_21Bellman, R. (1956). DYNAMIC PROGRAMMING AND LAGRANGE MULTIPLIERS. Proceedings of the National Academy of Sciences, 42(10), 767-769. doi:10.1073/pnas.42.10.767Diehl, M., Bock, H. G., Diedam, H., & Wieber, P.-B. (s. f.). Fast Direct Multiple Shooting Algorithms for Optimal Robot Control. Fast Motions in Biomechanics and Robotics, 65-93. doi:10.1007/978-3-540-36119-0_4Wächter, A., & Biegler, L. T. (2005). On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Mathematical Programming, 106(1), 25-57. doi:10.1007/s10107-004-0559-yNocedal, J. (1980). Updating quasi-Newton matrices with limited storage. Mathematics of Computation, 35(151), 773-773. doi:10.1090/s0025-5718-1980-0572855-
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