Flight Simulator Evaluation of Fuel-Efficient Arrival Profiles

Altava, Ramon Andreu; Mere, Jean Claude; Neri, Pierre; Delahaye, Daniel; Miquel, Thierry

doi:10.2514/1.g005091

Cited by 1 publication

(3 citation statements)

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“…The results obtained by both methods are comparable. Andreu Altava et al have developed an A* algorithm in [14,20,21] to optimize aircraft trajectories in descent and approach phases. A branch and bound method is used in [51] to solve effectively the problem of optimal trajectory planning subject to obstacle constraints.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

“…The optimization consists in finding a control vector, u(𝑠), that minimizes the above objective function, 𝐽, while satisfying constraints (19), (20), and ( 21), as well as the path constraints (9). To summarize, the problem is written as follows:…”

Section: B Optimal Control Formulationmentioning

confidence: 99%

“…The trajectory optimization problem is classically divided into a series of so-called guiding subproblems dealing with predefined flight phases: take-off [10], climb [11,12], cruise [13], descent [14][15][16][17][18][19], approach [20,21], and landing [22]. This decomposition is historically justified by the structure of aircraft systems (aerodynamics configurations, engine ratings) and also by the operational procedures that change from phase to phase.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Holistic Approach for Aircraft Trajectory Optimization Using Optimal Control

Kasmi¹,

Laporte²,

Mongeau³

et al. 2023

Journal of Aircraft

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This paper deals with an optimal control approach for commercial aircraft trajectory planning, focusing on the vertical path and the minimization of the fuel burned. The main contribution is the optimization of the whole trajectory, also called the mission, without prior separation into different flight phases (climb, cruise, and descent), contrary to traditional approaches that consider the flight phases sequentially. The proposed optimal control problem (OCP) is formulated and then solved using a direct collocation method. Initial results yield optimal trajectories with a gradual climb during the cruise (climb cruise), which correspond to theoretical trajectories that minimize fuel consumption. Furthermore, a penalization is introduced to ensure vertical profiles featuring horizontal cruise levels on so-called flight levels, compliant with current air traffic management regulations. The use of direct methods to address this OCP induces large nonlinear optimization problems that are solved using an interior point method. This methodology is likely to lead to poor local optima, but a simple multistart heuristic shows that the solutions found for standard problems appear to be globally optimal. Such an approach does not need to impose a priori the cruise flight levels and is suitable for commercial aircraft flight planning purposes. It leads to fuel saving and subsequently to important improvements against environmental impact by reducing [Formula: see text] emissions.

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