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Generation of Time Optimal Trajectories of an Autonomous Airship

Conference paper
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 422)

Abstract

The natural wind proved itself to be a major parameter to successful flights of airships. It mostly affects a trajectory through its speed. In general, the wind speed can be modeled as a sum of two components: a nominal deterministic component (available through meteorological forecasts or measured with a Doppler radar) and a stochastic component, representing deviations from the nominal one [1, 2]. The closed loop controller takes care of the stochastic part considered as perturbations, while the deterministic component is introduced into the motion planner. In general, the optimality of a trajectory can be defined according to several objectives, like minimizing the transfer time or the energy. Traditionally, trajectories are optimized by the application of numerical optimal control methods that are based on the calculus of variations.

Keywords

Singular Control Virtual Target Closed Loop Controller Time Optimal Trajectory Pontryagin Minimum Principle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer London 2012

Authors and Affiliations

  1. 1.Laboratoire IBISCUniversité d’Evry Val d’EssonneEvry CedexFrance

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