Real-time and robust estimation of biodiesel blends using nox sensor

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
Pages891-898
Number of pages8
Volume1
DOIs
StatePublished - Dec 1 2011
EventASME 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 2011Nov 2 2011

Other

OtherASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
CountryUnited States
CityArlington, VA
Period10/31/1111/2/11

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Control and Systems Engineering

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