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Robust Position and Velocity Tracking Control of a Four-wheel Drive and Four-wheel Steered Electric Vehicle

Schwartz, Manuel ORCID iD icon; Rudolf, Thomas; Hohmann, Sören


The scope of this paper is the design and evaluation of a robust position and velocity tracking control of a four-wheel drive and four-wheel steered electric vehicle (4WD4WS EV). In an autonomous setup, an H1-controller based on the normalized coprime factor synthesis followed by a flat velocity control with an asymptotic stable tracking error is designed. Optimized force control allocation (CA) is supported by state of the art methods enhanced with the Redistributed Pseudoinverse (RPI) algorithm leading to a robust force distribution in case of actuator failure. The presented methods are applied to a continuous maneuver sequence covering parking as well as the double lane change and the weave test. Realistic and nonlinear disturbances on the steering and drive are considered. Therefore, a high gain observer coupled with SISO-control for each wheel supplements the cascaded control architecture. The results, considering measurement noise of the considered sensors, are discussed. For the given context, such a comprehensive controller structure has not been proposed or studied sufficiently.

DOI: 10.1109/ICCAR49639.2020.9108078
Zitationen: 5
Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 20.04.2020
Sprache Englisch
Identifikator ISBN: 978-1-72816-140-2
KITopen-ID: 1000119225
Erschienen in 2020 6th International Conference on Control, Automation and Robotics (ICCAR) : April 20-23, 2020, Singapore
Veranstaltung 6th International Conference on Control, Automation and Robotics (ICCAR 2020), Singapur, Singapur, 20.04.2020 – 23.04.2020
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 415-422
Schlagwörter Autonomous Driving, Robust Position and Velocity Tracking
Nachgewiesen in Dimensions
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