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Communication Dans Un Congrès Année : 2022

Speed-adaptive model-free lateral control for automated cars

Résumé

In order to increase the number of situations in which an intelligent vehicle can operate without human intervention, lateral control is required to accurately guide it in a reference trajectory regardless of the shape of the road or the longitudinal speed. Some studies address this problem by tuning a controller for low and high speeds and including an output adaptation law. In this paper, a strategy framed in the Model-Free Control paradigm is presented to laterally control the vehicle over a wide speed range. Tracking quality, system stability and passenger comfort are thoroughly analyzed and compared to similar control structures. The results obtained both in simulation and with a real vehicle show that the developed strategy tracks a large number of trajectories with high degree of accuracy, safety and comfort.
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Dates et versions

hal-03745359 , version 1 (04-08-2022)
hal-03745359 , version 2 (05-12-2022)

Identifiants

Citer

Marcos Moreno-Gonzalez, Antonio Artuñedo, Jorge Villagra, Cédric Join, Michel Fliess. Speed-adaptive model-free lateral control for automated cars. Joint 8th IFAC Symposium on System Structure and Control, 17th IFAC Workshop on Time Delay Systems, 5th IFAC Workshop on Linear Parameter Varying Systems, Sep 2022, Montreal, Canada. ⟨hal-03745359v1⟩
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