Comparison of Various Guidance Strategies to Achieve Time Constraints in Optimal Descents

Dalmau, Ramon; Prats, Xavier; Verhoeven, Ronald; Bussink, Frank; Heesbeen, Bart

doi:10.2514/1.g004019

Cited by 8 publications

(6 citation statements)

References 16 publications

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“…In order to simplify the model, the multi-mode nature of aircraft motion is ignored, and the state estimation is performed under the assumption of a single mode. The most classic method in single model estimation is the Kalman Filter (KF) algorithm [20,21]. KF estimates the state of the system at the next moment according to the state equation and observation equation of the system [9].…”

Section: Single Model Estimationmentioning

confidence: 99%

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

Zeng

Chu

et al. 2022

Aerospace

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Aircraft four dimensional (4D, including longitude, latitude, altitude and time) trajectory prediction is a key technology for existing automation systems and the basis for future trajectory-based operations. This paper firstly summarizes the background and significance of the trajectory prediction problems and then introduces the definition and basic process of trajectory prediction, including four modules: preparation, prediction, update, and output. In addition, the trajectory prediction methods are summarized into three types: the state estimation model, the Kinetic model, and the machine learning model, and in-depth analysis of various models is carried out. Further, the relevant databases required for the study are introduced, including the aircraft performance database, aircraft monitoring database, and meteorological database. Finally, challenges and future development directions of the current trajectory prediction problem are summarized.

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Section: Single Model Estimationmentioning

confidence: 99%

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

Zeng

Chu

et al. 2022

Aerospace

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“…However, it has been shown that RTAs can be achieved with errors lower than 10 seconds at the final approach point [24], while a good RTA accuracy can be maintained too in presence of significant wind prediction errors [25]. Further guidance improvements were proposed in [37],…”

Section: E Model Enhancementsmentioning

confidence: 99%

Traffic synchronization in terminal airspace to enable continuous descent operations in trombone sequencing and merging procedures: An implementation study for Frankfurt airport

Sáez

Prats

Polishchuk

et al. 2020

Transportation Research Part C: Emerging Technologies

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“…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%

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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Comparison of Various Guidance Strategies to Achieve Time Constraints in Optimal Descents

Abstract: Nomenclature D = aerodynamic drag, N E k = kinetic energy, J E p = potential energy, J E s = specific energy, m E t = total energy, J f = fuel flow, kg/s f = dynamics of the system g = gravity acceleration,

Cited by 8 publications

References 16 publications

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

Traffic synchronization in terminal airspace to enable continuous descent operations in trombone sequencing and merging procedures: An implementation study for Frankfurt airport

Holistic Approach for Aircraft Trajectory Optimization Using Optimal Control

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