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Power System Optimization for Electric Hybrid Unmanned Drone

전동 하이브리드 무인 드론의 동력 계통 최적화

  • Received : 2018.12.26
  • Accepted : 2019.03.26
  • Published : 2019.04.01

Abstract

For drones to be used for industrial or agricultural applications, it is necessary to increase the payload and endurance. Currently, the payload and endurance are limited by the battery technology for electric powered drones. In addition, charging or replacing the batteries may not be a practical solution at the field that requires near continuous operation. In this paper, a procedure to optimize the power system of an electric hybrid drone that consists of an internal combustion engine, a generator, a battery, and electric motors is presented. The example drone for crop dusting is sized for easy transportation with a maximum takeoff weight of 200 kg. The two main rotors that are mechanically connected to the internal combustion engine provides most of the lift. The drone is controled by four electric motors that are driven by the generator. By analyzing the flow of the energy, a methodology to select the optimum propeller and motor among the commercially available models is described. Then, a procedure of finding the optimum operational condition along with the proper gear reduction ratios for the internal combustion engine based on the test data is presented.

드론이 농업 및 산업 운송 분야에 이용되기 위해서는 큰 탑재 하중과 긴 운용시간이 필요하다. 현재의 배터리 기술로는 탑재 하중과 체공 시간을 늘리는 데에 한계가 있고, 특히 현장에서 지속적인 운용이 필요할 때에 배터리의 충전 또는 교환이 번거로운 문제가 있다. 본 연구에서는 내연기관과 발전기, 그리고 배터리와 전기모터가 결합된 복합적인 추진기관을 사용하는 드론의 동력시스템을 최적화하는 과정을 제시한다. 운반과 운용의 제약을 고려하여 이륙중량 200kg 급의 기체를 선정하였다. 내연기관과 직접 연결된 2개의 주 로터가 기체 중량의 대부분을 담당하고, 내연기관으로 구동되는 발전기의 전력을 사용하는 4개의 모터가 자세제어를 담당하도록 시스템을 구성하였다. 드론의 에너지 흐름을 파악하여, 기존의 상용품 중 최적의 모터와 프로펠러를 선정하는 기법을 제시하고, 내연기관의 측정 데이터를 이용하여 최적의 운용 점과 기어비를 도출하는 기법을 제시한다.

Keywords

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