Observer design and model augmentation for bias compensation with a truck engine application

A systematic design method for reducing bias in observers is developed. The method utilizes an observable default model of the system together with measurement data from the real system and estimates a model augmentation. The augmented model is then used to design an observer which reduces the estim...

Full description

Saved in:
Bibliographic Details
Published inControl engineering practice Vol. 17; no. 3; pp. 408 - 417
Main Authors Höckerdal, Erik, Frisk, Erik, Eriksson, Lars
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.03.2009
Subjects
Bias compensation
EKF
Non-linear
Observer
TECHNOLOGY
TEKNIKVETENSKAP
EKF
Non-linear
Bias compensation
Observer
Online AccessGet full text

Cover

More Information
Summary:A systematic design method for reducing bias in observers is developed. The method utilizes an observable default model of the system together with measurement data from the real system and estimates a model augmentation. The augmented model is then used to design an observer which reduces the estimation bias compared to an observer based on the default model. Three main results are a characterization of possible augmentations from observability perspectives, a parameterization of the augmentations from the method, and a robustness analysis of the proposed augmentation estimation method. The method is applied to a truck engine where the resulting augmented observer reduces the estimation bias by 50% in a European transient cycle.
ISSN:0967-0661
1873-6939
1873-6939
DOI:10.1016/j.conengprac.2008.09.004