Abstract

International audience; With the sustained increase of air traffic, the demand for new maneuvering capabilities of transport aircrafts is getting more important in order to tackle traffic saturated conditions. In this communication, a new guidance control structure is proposed to perform trajectory tracking through smooth manoeuvers. The design approach is based first on a differential flatness property of aircraft guidance dynamics which is displayed in This work and then on the use of neural networks to invert the guidance dynamics in order to generate directives to the autopilot. To compensate the effect of modeling errors and of other disturbances, an adaptive control approach is adopted to perform the maneuvers.

Abstract

International audience; In this paper, we present the architecture of an innovative docking station for electric vehicles recharging and a hybrid control scheme for automatic docking of the vehicles. This work is a part of on-going project concerning the development of a smart charging station for electric vehicles equipped with an automated arm, which connect the vehicle to the charging station, and an infrared beacon system for localizing the automatically maneuvering vehicle in the docking area. The proposed control scheme combines time-optimal (bang-bang) control with continuous time-invariant nonlinear control, which stabilizes the vehicle to a small neighborhood of the docking point. Simulation and experimental results illustrate the effectiveness of the proposed controller.