Robust estimation of vehicle longitudinal dynamics parameters
| Autor: | Martin Gerngross, Jan Martin, Christian Endisch, Simon Altmannshofer, Reimund Limbacher |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Friction coefficient
0209 industrial biotechnology Drag coefficient Engineering Observational error business.industry 020208 electrical & electronic engineering Dynamics (mechanics) Robust statistics Estimator 02 engineering and technology law.invention 020901 industrial engineering & automation law Control theory 0202 electrical engineering electronic engineering information engineering Disc brake business |
| Zdroj: | Intelligent Vehicles Symposium |
| DOI: | 10.1109/ivs.2016.7535443 |
| Popis: | Vehicle longitudinal control can be improved by knowledge of vehicle parameters. A robust estimation algorithm is presented to estimate unknown or uncertain vehicle parameters. These parameters are mass, rolling coefficient, air drag coefficient and brake disc friction coefficient. The proposed estimator considers non-Gaussian measurement errors, insufficient excitation and a prior knowledge of parameter bounds. The robust estimator shows good performance on real-world data with difficult characteristics compared to existing algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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