Acceleration Estimation Using Imperfect Incremental Encoders in Automotive Applications
| Autor: | Antonio Loria, Missie Aguado-Rojas, Alexandre De Bernardinis, William Pasillas-Lépine |
|---|---|
| Přispěvatelé: | Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science medicine.medical_treatment Automotive industry Angular velocity 02 engineering and technology Band-stop filter Compensation (engineering) Periodic measurement noise Antilock braking system (ABS) Acceleration 020901 industrial engineering & automation Control theory [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering 0202 electrical engineering electronic engineering information engineering medicine Parameter estimation Electrical and Electronic Engineering Estimation theory business.industry Velocity and acceleration estimation 020206 networking & telecommunications Traction (orthopedics) Control and Systems Engineering Timestamping algorithm (TSA) Incremental encoders business Encoder |
| Zdroj: | IEEE Transactions on Control Systems Technology IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2020, 28 (3), pp.1058-1065. ⟨10.1109/TCST.2019.2896199⟩ |
| ISSN: | 1063-6536 |
| DOI: | 10.1109/TCST.2019.2896199⟩ |
| Popis: | International audience; We address the problem of rotational velocity and acceleration estimation from incremental encoders in the presence of sensor imperfections, with a particular orientation towards automotive applications such as traction and brake control. In this area, measurements of the wheel speed and acceleration are often affected by large disturbances with a period of one revolution that arise from sensor imperfections and degrade the performance of most control designs. We present an algorithm to identify and remove such periodic perturbations online, without the need of error compensation look-up tables, and without assuming constant velocity. Experimental tests prove that the method is able to greatly reduce the impact of perturbations without introducing an important phase lag, as opposed to the results obtained using a notch-filter. Index Terms-Velocity and acceleration estimation, in-cremental encoders, periodic measurement noise, time-stamping algorithm, parameter estimation, antilock braking system. |
| Databáze: | OpenAIRE |
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