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UID:calendar.24891.field_data.0@dis.uniroma1.it
DTSTAMP:20230602T081148Z
CREATED:20220513T160541Z
DESCRIPTION:AbstractIn this talk\, a technique to solve the formation missi
on design problem for commercial aircraft will be described. Given the dep
arture times and the departure and arrival locations of several commercial
flights\, the relevant weather forecast\, and the expected fuel savings d
uring formation flight\, the problem consists in establishing how to organ
ize them in formation or solo flights and in finding the trajectories that
minimize the overall direct operating cost of the flights. Each aircraft
can fly solo or in different positions inside a formation. Therefore\, the
mission is modeled as a switched dynamical system\, in which the discrete
state describes the combination of flight modes of the individual aircraf
t and logical constraints in disjunctive form establish the switching logi
c among the discrete states of the system. The formation mission design pr
oblem has been formulated as an optimal control problem of a switched dyna
mical system and solved using an embedding approach\, which allows switchi
ng decision among discrete states to be modeled without relying on binary
variables. The resulting problem is a classical optimal control problem wh
ich has been solved using a knotting pseudospectral method. The results of
several numerical experiments will be described\, which demonstrate the e
ffectiveness of this approach.BiosketchErnesto Staffetti is an Associate P
rofessor in System Engineering and Automation at the Rey Juan Carlos Unive
rsity\, Madrid\, Spain\, where he has been since 2004. He also worked with
the University of North Carolina at Charlotte\, the Katholieke Universite
it Leuven\, the Spanish Consejo Superior de Investigaciones Científicas\,
and the Universitat Politècnica de Catalunya. His research interests span
robotics\, astronautics and aeronautics. Much of his work has been on moti
on planning using optimal control techniques. In particular\, he has studi
ed the optimal control problem of stochastic switched dynamical systems. S
pecifically\, he has explored the possibility of avoiding the use of integ
er of binary variables to model the switching behaviour of dynamical syste
ms or decision-making processes in the formulation of optimal control prob
lems. He has also investigated the possibility of employing techniques suc
h as Generalized Polynomial Chaos and Arbitrary Polynomial Chaos for uncer
tainty quantification in stochastic optimal control problems. Since the CO
VID-19 outbreak\, he has worked on modelling the SARS-CoV-2 transmission d
ynamics and on planning optimal vaccination and testing strategies to cont
rol the pandemic using optimal control techniques.
DTSTART;TZID=Europe/Paris:20220519T140000
DTEND;TZID=Europe/Paris:20220519T140000
LAST-MODIFIED:20220513T161908Z
LOCATION:Aula Magna
SUMMARY:Formation Mission Design for Commercial Aircraft - Ernesto Staffett
i
URL;TYPE=URI:https://dis.uniroma1.it/node/24891
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