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Real-Time and Robust Estimation of Biodiesel Blends Using NOx Sensor

[+] Author Affiliations
S. Mirheidari, M. A. Franchek, K. M. Grigoriadis, J. Mohammadpour

University of Houston, Houston, TX

Y. Y. Wang, I. Haskara

General Motors Company, Warren, MI

Paper No. DSCC2011-6073, pp. 891-898; 8 pages
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 1
  • Arlington, Virginia, USA, October 31–November 2, 2011
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5475-4
  • Copyright © 2011 by ASME and General Motors


Biodiesel as a renewable alternative fuel produces lower exhaust emissions with the exception of nitrogen oxides (NOx ) when compared to the conventional diesel fuel. Reducing nitrogen oxides produced from engines running on biodiesel is a challenging task to be able to meet the emission requirements. Knowledge of fuel blend could be very helpful for control and adaptation purposes to tune the engine control system parameters leading to lower NOx emission and improved engine performance. Proposed in this paper is a NOx sensor-based biodiesel blend estimation strategy. 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.

Copyright © 2011 by ASME and General Motors



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