The autonomous vehicle is one of the greatest challenges in modern vehicle design. This paper proposes a new method of control named FLOP, Feedback Local Optimality Principle, recently proposed by the authors. The method, starting from the Pontryagin's theory, introduces a new optimality principle that minimizes a sequence of individual functionals with the chance of a direct feedback control. The theory is applied to the steering and traction control of a two-wheeled vehicle, showing the ability of tracking a given trajectory and obstacles avoidance in a rather complex environment.
A novel control strategy for autonomous cars / Antonelli, Dario; Nesi, Leandro; Pepe, Gianluca; Carcaterra, Antonio. - 2019-July:(2019), pp. 711-716. (Intervento presentato al convegno American control conference (ACC) 2019 tenutosi a Philadelphia, PA, USA).
A novel control strategy for autonomous cars
ANTONELLI, DARIO;NESI, LEANDRO;Pepe Gianluca;Carcaterra Antonio
2019
Abstract
The autonomous vehicle is one of the greatest challenges in modern vehicle design. This paper proposes a new method of control named FLOP, Feedback Local Optimality Principle, recently proposed by the authors. The method, starting from the Pontryagin's theory, introduces a new optimality principle that minimizes a sequence of individual functionals with the chance of a direct feedback control. The theory is applied to the steering and traction control of a two-wheeled vehicle, showing the ability of tracking a given trajectory and obstacles avoidance in a rather complex environment.File | Dimensione | Formato | |
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