Mode indices optimization of battery powered unmanned aerial vehicles with differential payload shedding


DOI: 10.34759/trd-2021-119-16

Аuthors

Aslanova A. B.

National Aerospace Agency of Azerbaijan Republic, NASA, 1, Suleyman Sani Akhundov str., Baku, AZ1115, Azerbaijan Republic

e-mail: aslanova.a.b.@mail.ru

Abstract

The problem of provision of optimum flight regime of UAV with dynamically changing weight was considered in regard of UAV equipped with internal combustion engines. Expansion of the scope of application of UAVs equipped with electric motors and batteries (accumulators) may cause the need to take into account the factor of weight changes during the flight. Technologically, this may be caused by the need to remove used batteries or perform some specific tasks. These types of tasks performed by drones include differentiated delivery of payload (spraying chemicals to destroy agricultural pests, dumping water in the forest fire zone, dumping chemicals to form raindrops, etc.). In the long term, a section of the UAV flight path is also possible, where the weight of the drone increases due to the implementation of refueling in the air. Thus, the issue of optimizing the operating parameters of the UAV is being updated, taking into account the dynamic change in the total weight of the UAV during the flight. It should be noted that this question in regard of battery powered UAV is developed not completely. The article formulates and solves the problem of determining the optimal dependence of the UAV flight speed on the weight of a battery-powered drone in the mode of differential payload reset. The optimization criterion is the condition for minimization the average integral value of the aerodynamic drag overcoming force. The task is solved using non-conditional variation optimization method in line with Euler equation and Lagrange multiplier.

It is shown that the optimal value of the flight speed of a battery-powered drone is directly proportional to 1/3 of the weight of the UAV and inversely proportional to 2/3 of the air density.

Keywords:

battery-powered unmanned aerial vehicle (UAV), payload, optimization, objective functional, aerodynamic drag

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