This paper addresses the problem of simultaneous estimation of unknown state and input for a class of nonlinear systems. Under certain minimum-phase conditions, the unknown states and inputs can be recovered asymptotically with high gain observers. The design of the observer uses the perfect observation scheme such that a restrictive input-output rank condition can be relaxed. It can be shown that the proposed estimation approach of the unknown input is in the form of the integration of estimation error signals. Thanks to the integrator the common issue of measurement noise corruption of the recovered unknown inputs can be significantly reduced. The proposed approach is applied to real-time estimate in-cylinder air charge and exhaust gas recirculation (EGR) flow rate of automotive internal combustion engines which are important factors for tailpipe emission reduction.
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ASME 2010 Dynamic Systems and Control Conference
September 12–15, 2010
Cambridge, Massachusetts, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4417-5
PROCEEDINGS PAPER
Simultaneous Unknown State and Input Estimation With Application to Virtual Air Charge and EGR Sensors for Automotive Engines
Chia-Shang Liu
Chia-Shang Liu
IAV Automotive Engineering Inc., Northville, MI
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Chia-Shang Liu
IAV Automotive Engineering Inc., Northville, MI
Paper No:
DSCC2010-4235, pp. 727-734; 8 pages
Published Online:
January 25, 2011
Citation
Liu, C. "Simultaneous Unknown State and Input Estimation With Application to Virtual Air Charge and EGR Sensors for Automotive Engines." Proceedings of the ASME 2010 Dynamic Systems and Control Conference. ASME 2010 Dynamic Systems and Control Conference, Volume 1. Cambridge, Massachusetts, USA. September 12–15, 2010. pp. 727-734. ASME. https://doi.org/10.1115/DSCC2010-4235
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