Influence of speed and altitude profile on the dynamics of in-trail following aircraft

Vinken, Pieter; Hoffman, Eric; Zeghal, Karim

doi:10.2514/6.2000-4362

Cited by 19 publications

(12 citation statements)

References 6 publications

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“…This field is addressed for UAVs or military aircraft by means of linear and nonlinear techniques [6,7] . However, research for civil aircraft where safety and passenger comfort are crucial issues is still in its initial stage: in some early works, station keeping is either performed manually [8] or by means of a proportional, integral and derivative (PID) control law [9,10] . However, operations where the merging constraint is relaxed at the meter fix have to be tackled as part of the envisioned ASPA applications and may yield in more efficient operations than applying station keeping during the merging phase.…”

Section: Fig 1: Example Of Sequencing and Merging Operations For Arrmentioning

confidence: 99%

A Flatness Based Speed Control Approach For Merge Behind Operations

Miquel

2012

AIAA Guidance, Navigation, and Control Conference

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.A flatness based speed control approach for merge behind operations Thierry MiquelTo cite this version: Over the last few years, several concepts dealing the delegation to the flight crew of some tasks currently performed by the air traffic controllers have emerged. Among these new ideas, relative guidance has appeared to be capable to contribute to the enhancement of air traffic capacity though it raises difficult technical challenges. Indeed, this kind of maneuver appears difficult to perform manually, and may induce an excessive increase in flight crew workload, thus requiring new on-board automated functions. Some linear and nonlinear techniques have already been studied to design a feedback loop which performs automatically merging maneuvers and maintains station keeping behind a designated aircraft. The main contribution of this paper consists in the design of a feedback control loop using flatness control: this technique takes advantage of feedback linearization through a reference error between the ghost position of the leading aircraft and the current position of the trailing aircraft to provide a commanded speed to the autothrottle speed control system of the trailing aircraft. The robustness of the proposed design with respect to uncertainties in the dynamics of the leading aircraft and in the dynamics of the autothrottle speed control system of the trailing aircraft is achieved by the periodic update of the reference error. The reference error generation is detailed and simulation results are presented.

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Section: Fig 1: Example Of Sequencing and Merging Operations For Arrmentioning

confidence: 99%

A Flatness Based Speed Control Approach For Merge Behind Operations

Miquel

2012

AIAA Guidance, Navigation, and Control Conference

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“…Interval Management in its various forms has been investigated by several organizations, such as MITRE [6][7][8], EuroControl [9][10][11][12], NASA [4,[13][14] and the FAA [15,16]. Evaluations performed by MITRE address both human-in-the-loop simulations as well as theoretical modeling approaches.…”

Section: Abbreviated Survey Of Prior Research In Interval Managementmentioning

confidence: 99%

Comparison of aircraft models and integration schemes for interval management in the tracon

Neogi

Hagen

Herencia-Zapana

2012

2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC)

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Reusable models of common elements for communication, computation, decision and control in air traffic management are necessary in order to enable simulation, analysis and assurance of emergent properties, such as safety and stability, for a given operational concept.Uncertainties due to faults, such as dropped messages, along with nonlinearities and sensor noise are an integral part of these models, and impact emergent system behavior. Flight control algorithms designed using a linearized version of the flight mechanics will exhibit error due to model uncertainty, and may not be stable outside a neighborhood of the given point of linearization. Moreover, the communication mechanism by which the sensed state of an aircraft is fed back to a flight control system (such as an ADS-B message) impacts the overall system behavior; both due to sensor noise as well as dropped messages (vacant samples). Additionally simulation of the flight controller system can exhibit further numerical instability, due to selection of the integration scheme and approximations made in the flight dynamics.We examine the theoretical and numerical stability of a speed controller under the Euler and Runge-Kutta schemes of integration, for the "Maintain" phase for a " Mid-Term (2035-2045 Interval Management (IM) Operational Concept" for descent and landing operations.We model uncertainties in communication due to missed ADS-B messages by vacant samples in the integration schemes, and compare the emergent behavior of the system, in terms of stability, via the boundedness of the final system state. Any bound on the errors incurred by these uncertainties will play an essential part in a composable assurance argument required for real-time, flight-deck guidance and control systems,. Thus, we believe that the creation of reusable models, which possess property guarantees, such as safety and stability, is an innovative and essential requirement to assessing the emergent properties of novel airspace concepts of operation.

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“…The target altitude (h des ) is fed independently, and depends on the top of descent scenario. Similarly to the aircraft model, a more detailed description can be found in related documents [18].…”

Section: Guidance Lawmentioning

confidence: 99%

“…In the 90's, analytical models were used along with pilot-in-the-loop experiments [12], [13]. The impact of top of descent position and of speed reduction on the in-trail following performance was investigated through mathematical models [18]. All these studies, however, assumed perfect surveillance information.…”

Section: Introductionmentioning

confidence: 99%

Impact of ADS-B Link Characteristics on the Performances of In-Trail Following Aircraft

Ivanescu

Hoffman

Zeghal

2002

AIAA Guidance, Navigation, and Control Conference and Exhibit

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In the general context of the delegation of some controller tasks to the flight deck, the pilots could be instructed to adjust its aircraft speed so as to maintain a prescribed longitudinal spacing with respect to the aircraft flying ahead. ADS-B (Automatic Dependent Surveillance-Broadcast) technology is one of the potential key enabler to support the implementation of such application. In this paper, the relationship between the ADS-B surveillance data characteristics (information exchanged, update rate, latency, accuracy) and the performance of the in-trail following aircraft application (stability of the in-trail aircraft, expected accuracy of in-trail aircraft time or distance spacing) is investigated based on a mathematical model of the in-trail aircraft.

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Influence of speed and altitude profile on the dynamics of in-trail following aircraft

Cited by 19 publications

References 6 publications

A Flatness Based Speed Control Approach For Merge Behind Operations

A Flatness Based Speed Control Approach For Merge Behind Operations

Comparison of aircraft models and integration schemes for interval management in the tracon

Impact of ADS-B Link Characteristics on the Performances of In-Trail Following Aircraft

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