Algorithms of FMS Reference Trajectory Synthesis to Support NextGen Capability Studies

Zhao, Yiyuan; Vaddi, Veera V.

doi:10.2514/6.2013-4264

Cited by 4 publications

(3 citation statements)

References 48 publications

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“…and the wind disturbance model [Eqs. (10)(11)(12)]; w q t is a mode-dependent zero-mean white Gaussian noise whose strength isQ q . Then, through discretization using the EulerMaruyama method with a sampling time T s [19], we finally get the discrete time continuous dynamics for each mode q as…”

Section: Continuous State Dynamics Of Aircraftmentioning

confidence: 99%

“…Because of the development of advanced flight data communication systems, long-term flight intent information such as flight plans (a series of waypoints) or airline procedures have become available for more accurate trajectory prediction [9][10][11]. In fact, under NextGen, an aircraft's onboard data, including its flight management system setting information (i.e., flight plan), becomes available to air traffic controllers (ATC) and is frequently updated through data communication [1].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid System Modeling and Estimation for Arrival Time Prediction in Terminal Airspace

Lee

Hwang

2016

Journal of Guidance, Control, and Dynamics

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Section: Continuous State Dynamics Of Aircraftmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid System Modeling and Estimation for Arrival Time Prediction in Terminal Airspace

Lee

Hwang

2016

Journal of Guidance, Control, and Dynamics

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“…The second set of inputs is obtained from the FMS Reference Trajectory Synthesizer Module, which is described in detail in an accompanying paper (Ref. 25).…”

Section: Figure 2 Functional Flow Diagram Of Lnav + Vnav Capabilitymentioning

confidence: 99%

Design and Evaluation of LNAV/VNAV Guidance Algorithms for Time-of-Arrival Error Characterization

Bai

Vaddi

Zhao³

2013

2013 Aviation Technology, Integration, and Operations Conference

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This paper develops 3D-path tracking algorithms to simulate the Lateral NAVigation (LNAV) and Vertical NAVigation (VNAV) capabilities found in current day aircraft flight management systems. The LNAV/VNAV capability is realized using two modules: (i) Reference Trajectory Synthesis Module, and (ii) LNAV/VNAV Guidance Module. A separate paper deals with the Reference Trajectory Synthesis Module. The focus of the current paper is the design and evaluation of LNAV/VNAV Guidance Module. The guidance module is formulated as a reference-trajectory tracking controller. The control laws are based on single-input single-output linear feedback control principles. The outputs from the guidance module are: (i) bank-angle command, (ii) coefficient-of-lift command, (iii) thrust command, and (iv) spoiler drag command. The guidance module is evaluated on a simulation that models aircraft point-mass dynamics, bank-angle auto-pilot dynamics, pitchaxis auto-pilot dynamics, engine lag dynamics, atmospheric forecast model, and a realistic forecast uncertainty model. Test scenarios include A320 and MD82 aircraft flying along different arrival routes into San Francisco and Los Angeles International airports. Monte-Carlo simulation framework is used to estimate the time-of-arrival uncertainty associated with a A320 LNAV/VNAV flight.

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Effect of LNAV and VNAV Equipage on Time-Based Scheduling

Vaddi

Bai

Tandale

et al. 2013

2013 Aviation Technology, Integration, and Operations Conference

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This paper evaluates the effect of Lateral NAVigation (LNAV) and Vertical NAVigation (NAV) equipage on the performance on time-based scheduling. The paper relies on two companion papers: (i) the first paper develops a high-fidelity simulations model of LNAV + VNAV, and (ii) the second paper develops a realistic spatio-temporally correlated model of wind uncertainty. Two different Monte Carlo simulation frameworks are used to evaluate the effect of LNAV + VNAV equipage on time-based-scheduling. The first Monte Carlo simulation framework is used to evaluate the time-of-arrival uncertainty for flights equipped with LNAV + VNAV capability. This Monte Carlo simulation uses a point-mass simulation model of the aircraft equipped with LNAV + VNAV and flying through spatio-temporally correlated wind uncertainty fields. The second Monte Carlo simulation evaluates the effect of LNAV + VNAV equipage on the performance of time-based scheduling. NASA's Stochastic Terminal Area Scheduling and Simulation (STASS) software is used for timebased scheduling and terminal area traffic simulations. Terminal-area traffic Monte Carlo simulations are conducted for 1.0x, 1.5x, and 2.0x demand ratio at San-Francisco International Airport (SFO), Los Angeles International Airport (LAX), and Dallas Fort Worth International Airport (DFW). Results illustrating the effect of LNAV + VNAV equipage level (0%, 25%, 50%, and 75%) on delay, throughput, and the number of separation violations are presented in the paper.

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Algorithms of FMS Reference Trajectory Synthesis to Support NextGen Capability Studies

Cited by 4 publications

References 48 publications

Hybrid System Modeling and Estimation for Arrival Time Prediction in Terminal Airspace

Hybrid System Modeling and Estimation for Arrival Time Prediction in Terminal Airspace

Design and Evaluation of LNAV/VNAV Guidance Algorithms for Time-of-Arrival Error Characterization

Effect of LNAV and VNAV Equipage on Time-Based Scheduling

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