Fault Diagnosis in Air Data Sensors for Receiver Aircraft in Aerial Refueling

Sevil, Hakkı Erhan; Dogan, Atilla

doi:10.2514/1.g000527

Cited by 17 publications

(5 citation statements)

References 38 publications

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“…Since the probe tip and drogue must be included in the camera system Field of View (FOV), when the probe tip connects to the coupler, a large portion of the FOV will be obscured by the drogue. Therefore, once the connection is complete, the UA stabilizes in the FTZ [ 100 ], and the air data computer (ADC) faults are isolated to ensure correct inputs are provided to calculate the aircraft state information [ 101 ]. DGPS information should be used to create a similar corridor to that of COA for the UA to maintain within until the fuel transfer is complete ( Figure 12 ).…”

Section: Review Of Sensor Requirements For A3rmentioning

confidence: 99%

Review of Sensor Technology to Support Automated Air-to-Air Refueling of a Probe Configured Uncrewed Aircraft

Parry

Hubbard

2023

Sensors

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As technologies advance and applications for uncrewed aircraft increase, the capability to conduct automated air-to-air refueling becomes increasingly important. This paper provides a review of required sensors to enable automated air-to-air refueling for an uncrewed aircraft, as well as a review of published research on the topic. Automated air-to-air refueling of uncrewed aircraft eliminates the need for ground infrastructure for intermediate refueling, as well as the need for on-site personnel. Automated air-to-air refueling potentially supports civilian applications such as weather monitoring, surveillance for wildfires, search and rescue, and emergency response, especially when airfields are not available due to natural disasters. For military applications, to enable the Air Wing of the Future to strike at the ranges required for the mission, both crewed and uncrewed aircraft must be capable of air-to-air refueling. To cover the sensors required to complete automated air-to-air refueling, a brief history of air-to-air refueling is presented, followed by a concept of employment for uncrewed aircraft refueling, and finally, a review of the sensors required to complete the different phases of automated air-to-air refueling. To complete uncrewed aircraft refueling, the uncrewed receiver aircraft must have the sensors required to establish communication, determine relative position, decrease separation to astern position, transition to computer vision, position keep during refueling, and separate from the tanker aircraft upon completion of refueling. This paper provides a review of the twelve sensors that would enable the uncrewed aircraft to complete the seven tasks required for automated air-to-air refueling.

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Section: Review Of Sensor Requirements For A3rmentioning

confidence: 99%

Review of Sensor Technology to Support Automated Air-to-Air Refueling of a Probe Configured Uncrewed Aircraft

Parry

Hubbard

2023

Sensors

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“…Firstly, the SVM model (Sevil and Dogan 2015) is trained with the training sample set to calculate the "hyperplane" of the sample in the vector space. The optimization problem is as follows (Eqs.…”

Section: Support Vector Machine-based Diagnosis Algorithmmentioning

confidence: 99%

Research on Comparison of Different Algorithms in Diagnosing Faults of Aircraft Engines

Liao

2021

J. Aerosp. Technol. Manag.

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For the aircraft, the engine is its core component. Once the engine fails, the flight safety will be seriously affected; therefore, it is necessary to diagnose the failure in time. This paper briefly introduced three aircraft engine fault diagnosis algorithms based on support vector machine (SVM), random forest, and particle swarm optimization-back-propagation (PSO-BP) and carried out a simulation experiment on the performance of the three algorithms in MATLAB software. The results showed that the PSO-BPbased diagnosis algorithm had the highest recognition accuracy and the SVM-based diagnosis algorithm had the lowest, both for artificial fault data and real fault data. The PSO-BP-based diagnosis algorithm took the least average recognition time, and the SVM-based diagnosis algorithm took the longest time.

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“…By refueling in the air, the UAVs proceed with their mission without returning to the ground base to refuel, thereby extending the mission coverage and operational time. From these benefits, the AAR has been employed in the military domain and is further extended into unmanned aerial systems (UAS) [1,2,3,4,5,6,7,8,9,10,11,12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of rendezvous guidance laws for autonomous aerial refueling for non-maneuvering and identical speed targets

Lee

Kim

2022

Aerospace Science and Technology

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Fault Diagnosis in Air Data Sensors for Receiver Aircraft in Aerial Refueling

Cited by 17 publications

References 38 publications

Review of Sensor Technology to Support Automated Air-to-Air Refueling of a Probe Configured Uncrewed Aircraft

Review of Sensor Technology to Support Automated Air-to-Air Refueling of a Probe Configured Uncrewed Aircraft

Research on Comparison of Different Algorithms in Diagnosing Faults of Aircraft Engines

Analysis of rendezvous guidance laws for autonomous aerial refueling for non-maneuvering and identical speed targets

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