Real-time and robust estimation of biodiesel blends based on fuel consumption and crankshaft torsionals

S. Mirheidari; Matthew Franchek; K. M. Grigoriadis; J. Mohammadpour; Y. Y. Wang; I. Haskara

doi:10.1115/DSCC2011-6074

Real-time and robust estimation of biodiesel blends based on fuel consumption and crankshaft torsionals

S. Mirheidari, Matthew Franchek, K. M. Grigoriadis, J. Mohammadpour, Y. Y. Wang, I. Haskara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Biodiesel is a renewable alternative fuel which produces lower exhaust emissions compared to its petroleum-based counterpart, diesel. While all of the emissions are less for biodiesel compared to diesel fuel, nitrogen oxides (NO_x) increases. To meet the emissions requirements by engine manufacturers, information about biodiesel fuel must be provided for engine control system to be able to compensate the increase in NO_x emissions caused by using biodiesel. Moreover, biodiesel blend information can be useful to improve performance on the biodiesel fueled engine. Biodiesel blend estimation based on fuel consumption and produced engine torque is investigated in this paper. This strategy is fitted in a robust adaptive estimation structure for achieving a robust estimation. Sensitivity analysis has been done to check the robustness of the estimators against measurement errors.

Original language	English (US)
Title of host publication	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
Pages	921-928
Number of pages	8
Volume	1
DOIs	https://doi.org/10.1115/DSCC2011-6074
State	Published - Dec 1 2011
Event	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011 - Arlington, VA, United States Duration: Oct 31 2011 → Nov 2 2011

Other

Other	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
Country/Territory	United States
City	Arlington, VA
Period	10/31/11 → 11/2/11

ASJC Scopus subject areas

Fluid Flow and Transfer Processes
Control and Systems Engineering

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10.1115/DSCC2011-6074

Cite this

Mirheidari, S., Franchek, M., Grigoriadis, K. M., Mohammadpour, J., Wang, Y. Y., & Haskara, I. (2011). Real-time and robust estimation of biodiesel blends based on fuel consumption and crankshaft torsionals. In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011 (Vol. 1, pp. 921-928) https://doi.org/10.1115/DSCC2011-6074

Real-time and robust estimation of biodiesel blends based on fuel consumption and crankshaft torsionals. / Mirheidari, S.; Franchek, Matthew; Grigoriadis, K. M. et al.
ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011. Vol. 1 2011. p. 921-928.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mirheidari, S, Franchek, M, Grigoriadis, KM, Mohammadpour, J, Wang, YY & Haskara, I 2011, Real-time and robust estimation of biodiesel blends based on fuel consumption and crankshaft torsionals. in ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011. vol. 1, pp. 921-928, ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011, Arlington, VA, United States, 10/31/11. https://doi.org/10.1115/DSCC2011-6074

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abstract = "Biodiesel is a renewable alternative fuel which produces lower exhaust emissions compared to its petroleum-based counterpart, diesel. While all of the emissions are less for biodiesel compared to diesel fuel, nitrogen oxides (NOx) increases. To meet the emissions requirements by engine manufacturers, information about biodiesel fuel must be provided for engine control system to be able to compensate the increase in NOx emissions caused by using biodiesel. Moreover, biodiesel blend information can be useful to improve performance on the biodiesel fueled engine. Biodiesel blend estimation based on fuel consumption and produced engine torque is investigated in this paper. This strategy is fitted in a robust adaptive estimation structure for achieving a robust estimation. Sensitivity analysis has been done to check the robustness of the estimators against measurement errors.",

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Real-time and robust estimation of biodiesel blends based on fuel consumption and crankshaft torsionals

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