14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper FrB6.4

A▀falg, Jochen (Robert Bosch GmbH), Allgower, Frank (Univ. of Stuttgart), Fritz, Martin (Robert Bosch GmbH)

Constrained Derivative-Free Augmented State Estimation for a Diesel Engine Air Path

Scheduled for presentation during the Regular Session "Identification in Automotive Systems" (FrB6), Friday, March 31, 2006, 16:30−16:50, Newcastle Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 16, 2018

Keywords Mechanical and Aerospace, Continuous Time System Estimation, Filtering and Smoothing


In this paper, the problem of simultaneously estimating the states and selected parameters of a diesel combustion engine air path is considered. Due to the high complexity of the nonlinear air path model, this problem is challenging, further complicated as decisive physical insight is available in the form of inequality constraints. We therefore provide a derivative-free estimation algorithm, combining constrained online optimization with an unscented Kalman filter covariance update formula. To keep generality, the algorithm is derived and examined for a general class of nonlinear constrained systems. Experimental results put to test, confirm the efficiency of the provided estimation algorithm.