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Range, Endurance, and Optimal Speed Estimates for Multicopters

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arxiv 2109.04741 v3 pith:CEIVB6DL submitted 2021-09-10 cs.RO

Range, Endurance, and Optimal Speed Estimates for Multicopters

classification cs.RO
keywords rangeendurancemodelmulticoptersspeedoptimalapproachbattery
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Multicopters are among the most versatile mobile robots. Their applications range from inspection and mapping tasks to providing vital reconnaissance in disaster zones and to package delivery. The range, endurance, and speed a multirotor vehicle can achieve while performing its task is a decisive factor not only for vehicle design and mission planning, but also for policy makers deciding on the rules and regulations for aerial robots. To the best of the authors' knowledge, this work proposes the first approach to estimate the range, endurance, and optimal flight speed for a wide variety of multicopters. This advance is made possible by combining a state-of-the-art first-principles aerodynamic multicopter model based on blade-element-momentum theory with an electric-motor model and a graybox battery model. This model predicts the cell voltage with only 1.3% relative error (43.1 mV), even if the battery is subjected to non-constant discharge rates. Our approach is validated with real-world experiments on a test bench as well as with flights at speeds up to 65 km/h in one of the world's largest motion-capture systems. We also present an accurate pen-and-paper algorithm to estimate the range, endurance and optimal speed of multicopters to help future researchers build drones with maximal range and endurance, ensuring that future multirotor vehicles are even more versatile.

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Cited by 2 Pith papers

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  1. Higher Order Reasoning for Collaborative Communicationless Mobile Robot Operations

    cs.RO 2026-05 unverdicted novelty 7.0

    A higher-order epistemic planning system with belief particles and MPPI control enables implicit multi-robot coordination and faster task completion in communicationless environments.

  2. BC-NMPC: Battery-Constrained NMPC with Propulsion Prediction and Replanning for High-Speed Flight

    cs.RO 2026-07 conditional novelty 6.0

    Battery- and propulsion-aware NMPC with online thrust-limit replanning cuts tracking RMSE sixfold and roughly doubles safe flight time versus uncompensated control in simulated obstacle courses.