A Stochastic Switched Optimal Control Approach to Formation Mission Design for Commercial Aircraft
Mar\'ia Cerezo-Maga\~na, Alberto Olivares, and Ernesto Staffetti

TL;DR
This paper introduces a stochastic optimal control framework using polynomial chaos and collocation methods to optimize formation missions for commercial aircraft under uncertainties, demonstrating potential cost benefits.
Contribution
It develops a novel stochastic switched optimal control approach with polynomial chaos for formation flight planning under uncertainty, enabling efficient analysis of expected costs.
Findings
Formation flights can reduce costs despite uncertainties.
The method efficiently analyzes sensitivity to random parameters.
Numerical results show cost benefits of formation in uncertain conditions.
Abstract
This paper studies the formation mission design problem for commercial aircraft in the presence of uncertainties. Specifically, it considers uncertainties in the departure times of the aircraft and in the fuel burn savings for the trailing aircraft. Given several commercial flights, the problem consists in arranging them in formation or solo flights and finding the trajectories that minimize the expected value of the direct operating cost of the flights. The formation mission design problem is formulated as an optimal control problem of a stochastic switched dynamical system and solved using nonintrusive generalized polynomial chaos based stochastic collocation. The stochastic collocation method converts the stochastic switched optimal control problem into an augmented deterministic switched optimal control problem. With this approach, a small number of sample points of the random…
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