Robust Vehicle Mass and Driving Resistance Estimation
Autor: | Christian Endisch, Simon Altmannshofer |
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Předmět: |
Estimation
0209 industrial biotechnology Engineering business.industry Estimation theory 020208 electrical & electronic engineering Robust statistics Estimator Contrast (statistics) 02 engineering and technology Longitudinal model 020901 industrial engineering & automation Control theory Outlier 0202 electrical engineering electronic engineering information engineering In vehicle business |
Zdroj: | BASE-Bielefeld Academic Search Engine ACC |
Popis: | A robust parameter estimation algorithm for vehicle mass and driving resistance is presented. The estimation scheme uses a vehicle longitudinal model and common vehicle sensor signals. In contrast to other driving resistance estimators the proposed robust formulation copes with typical real-world problems encountered in vehicle parameter estimation like measurement outliers and insufficient excitation in the input signals. The robust estimator shows good performance compared to existing estimators on real-world data with difficult characteristics. |
Databáze: | OpenAIRE |
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