Balancing Rapid Acquisition of Unmanned Aerial Vehicles with Support Considerations

Drew, John G.; Shaver, Russell D.; Lynch, Kristin F.; Amouzegar, Mahyar A.; Snyder, Don

doi:10.7249/rb176

Cited by 4 publications

(3 citation statements)

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“…The MQ-9 Reaper/Predator B (Figure 10) is a HALE UAV produced by General Atomics, used for high-altitude surveillance and ground attack missions, by militaries and organizations all over the world [44][45][46][47][48][49][50]. The aircraft is powered by the TPE331-10 turboprop engine of 940 shp, designed by Honeywell [50,51].…”

Section: Mq9 Reaper/predator B Parameter Estimation-performance Analysismentioning

confidence: 99%

“…The estimated values are given in Tables 6 to 10. There is a discrepancy in the literature regarding the maximum range of the MQ-9 Reaper, with references values to range between 1.181 and 3.682 mi [46,47]. Based on Equation (1) for the propeller-driven aircraft, the maximum range of MQ-9 Reaper for flight profile selected can be estimated, and the value is given in Table 6, taking into account that the equation leads to an overestimation of range [18].…”

Section: Mq9 Reaper/predator B Parameter Estimation-performance Analysismentioning

confidence: 99%

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A guide to unmanned aerial vehicles performance analysis—the MQ‐9 unmanned air vehicle case study

Zountouridou

Kiokes

Dimeas

et al. 2023

The Journal of Engineering

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Great efforts are devoted for integrating Renewable Energy Sources (RES) on the propulsion system of Unmanned Air Vehicles (UAVs). This is applicable to small UAVs, having a horizon to expand to large UAVs within the next decades. For the conventional propulsion systems to be replaced, the required power needs of the aircraft should first be examined. The required power depends on the UAV's flight stage from takeoff to landing, whereas its calculation varies with regard to the propulsion system type, which is separated into two main categories, the propelled-driven engines and the jet engines. Two obstacles are arising. First, the parameters needed for the power estimation are commercially sensitive and second the analysis alters with respect to the engine's type. This paper focuses on the mathematical analysis of the required power for both the main propulsion systems, presented extensively for each flight phase, proposing, at the same time, a parameter estimation method which is applicable to any UAV type. The main purpose of this paper is to act as a guide for the calculation of any type UAV's required power at any flight stage. To validate the analysis, the MQ-9 Reaper/Predator B, a High Altitude Long Endurance (HALE) turboprop UAV produced by General Atomics is analysed. Its unknown parameters are estimated and based on a selected flight profile, the required power in terms of horsepower from takeoff to landing is assessed, for two scenarios regarding the aircraft's initial weight. In the first scenario the UAV has the maximum gross takeoff weight, whereas in the second scenario it does not carry any payload. The estimated required shaft power per flight phase for each scenario is then marked into the TPE331-10 turboprop engine characteristic curves.

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Section: Mq9 Reaper/predator B Parameter Estimation-performance Analysismentioning

confidence: 99%

Section: Mq9 Reaper/predator B Parameter Estimation-performance Analysismentioning

confidence: 99%

A guide to unmanned aerial vehicles performance analysis—the MQ‐9 unmanned air vehicle case study

Zountouridou

Kiokes

Dimeas

et al. 2023

The Journal of Engineering

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“…The designer of IVHM for a UAS is still bound by the fundamental challenges of modern product development: they must attract and retain customers, be competitive in the market place, and satisfy the requirements of diverse global communities and governments (Liu and Boyle, 2009). Maintenance can often be overlooked during the design of a UAS (Drew et al, 2005), and this not helped by there being a lack of tools to address the design of maintenance (Price, Raghunathan, and Curran, 2007). There will need to be tradeoffs in the design of the IVHM due to there being limited resources (e.g.…”

Section: Ivhm Designmentioning

confidence: 99%

A V-Diagram for the Design of Integrated Health Management for Unmanned Aerial Systems

et al. 2015

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Designing Integrated Vehicle Health Management (IVHM) for Unmanned Aerial Systems (UAS) is inherently complex. UAS are a system of systems (SoS) and IVHM is a product- service, thus the designer has to take into account many factors, such as: the design of the other systems of the UAS (e.g. engines, structure, communications), the split of functions between elements of the UAS, the intended operation/mission of the UAS, the cost verses benefit of monitoring a system/component/part, different techniques for monitoring the health of the UAS, optimizing the health of the fleet and not just the individual UAS, amongst others. The design of IVHM cannot sit alongside, or after, the design of UAS, but itself be integrated into the overall design to maximize IVHM’s potential. Many different methods exist to help design complex products and manage the process. One method used is the V- diagram which is based on three concepts: decomposition & definition; integration & testing; and verification & validation. This paper adapts the V-diagram so that it can be used for designing IVHM for UAS. The adapted v-diagram splits into different tracks for the different system elements of the UAS and responses to health states (decomposition and definition). These tracks are then combined into an overall IVHM provision for the UAS (integration and testing), which can be verified and validated. The stages of the adapted V- diagram can easily be aligned with the stages of the V- diagram being used to design the UAS bringing the design of the IVHM in step with the overall design process. The adapted V-diagram also allows the design IVHM for a UAS to be broken down in to smaller tasks which can be assigned to people/teams with the relevant competencies. The adapted V-diagram could also be used to design IVHM for other SoS and other vehicles or products

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Logistics Support for Unmanned Systems

Joyce

2016

Operations Research for Unmanned Systems

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Balancing Rapid Acquisition of Unmanned Aerial Vehicles with Support Considerations

Cited by 4 publications

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A guide to unmanned aerial vehicles performance analysis—the MQ‐9 unmanned air vehicle case study

A guide to unmanned aerial vehicles performance analysis—the MQ‐9 unmanned air vehicle case study

A V-Diagram for the Design of Integrated Health Management for Unmanned Aerial Systems

Logistics Support for Unmanned Systems

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