Quadrocopter performance benchmarking using optimal control

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Abstract

A numerical method for computing quadrocopter maneuvers between two states is presented. Computed maneuvers satisfy Pontryagin's minimum principle with respect to time-optimality. First, in order to obtain the structure of time-optimal maneuvers, we apply the minimum principle to a first-principles, two-dimensional quadrotor model. Then we present a numerical algorithm that enables the computation of maneuvers for arbitrary initial and final states. The developed method is used to compute a set of maneuvers, which are discussed and demonstrated experimentally in the ETH Zurich Flying Machine Arena testbed. © 2011 IEEE.

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Ritz, R., Hehn, M., Lupashin, S., & D’Andrea, R. (2011). Quadrocopter performance benchmarking using optimal control. In IEEE International Conference on Intelligent Robots and Systems (pp. 5179–5186). https://doi.org/10.1109/IROS.2011.6048382

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