Observer design and model augmentation for bias compensation with a truck engine application
2009 (English)In: Control Engineering Practice, ISSN 0967-0661, Vol. 17, no 3, 408-417 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2009. Vol. 17, no 3, 408-417 p.
Bias compensation, EKF, Non-linear, Observer
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-17160DOI: 10.1016/j.conengprac.2008.09.004OAI: oai:DiVA.org:liu-17160DiVA: diva2:202150
Original Publication:Erik Höckerdal, Erik Frisk and Lars Eriksson, Observer design and model augmentation for bias compensation with a truck engine application, 2009, CONTROL ENGINEERING PRACTICE, (17), 3, 408-417.http://dx.doi.org/10.1016/j.conengprac.2008.09.004Copyright: Elsevier Science B.V., Amsterdam.http://www.elsevier.com/2009-03-192009-03-072011-04-20Bibliographically approved