电动固旋翼无人机动力系统建模与优化设计

Translated title of the contribution: Modeling and optimal design of power system for electric fixed-wing quadrotor hybrid unmanned aerial vehicle

Hang Zhang, Bifeng Song, Haifeng Wang, Geng Wang

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A modeling and optimal design method of power system was proposed to solve the problem of lack in theoretical method for power system design and selection of electric fixed-wing quadrotor hybrid unmanned aerial vehicle (eHAV). The need of power system was proposed by calculating the thrust-to-mass ratio. The models of propeller design and performance calculation were established using propeller and rotor theories. The brushless permanent magnet DC electric motor was modeled using statistic method and first order motor model. The relations of voltage and current between motor and battery were used to establish the battery selection method. A fully empirical model for battery discharge characteristics with voltage correction was used to calculate the endurance of eHAV. The optimal design flow of power system was established based on the matching method. The power system of an eHAV was optimized and selected. The results showed that the errors between the proposed rotor and propeller models and CFD method were less than 10%, and the fitting degree between the discharge model and the experimental data was greater than 0.97. The flight test showed that the error of endurance between the flight test result and the design value was less than 4%, verifying the correction and feasibility of the method of power system modeling and optimal design.

Translated title of the contributionModeling and optimal design of power system for electric fixed-wing quadrotor hybrid unmanned aerial vehicle
Original languageChinese (Traditional)
Pages (from-to)1311-1321
Number of pages11
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume34
Issue number6
DOIs
StatePublished - 1 Jun 2019

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