CAJ | 학술논문

电动飞行器是目前运载工具研究领域的重要方向之一。通过引入有关参数，推导了电动飞行器总体参数公式。针对飞行器复杂约束条件限制的特点，采用更简便的粒子群算法建立多目标优化数学模型，并对飞行器总体参数进行优化。依照粒子群算法的优化流程，分别对电动飞行器的相关总体参数进行单目标和多目标优化计算。研究表明，算例结果与统计数据具有较好的一致性，因此所提出的总体参数计算及优化方法可有效地应用于电动飞行器。
전동비행기시목전운재공구연구영역적중요방향지일。통과인입유관삼수，추도료전동비행기총체삼수공식。침대비행기복잡약속조건한제적특점，채용경간편적입자군산법건립다목표우화수학모형，병대비행기총체삼수진행우화。의조입자군산법적우화류정，분별대전동비행기적상관총체삼수진행단목표화다목표우화계산。연구표명，산례결과여통계수거구유교호적일치성，인차소제출적총체삼수계산급우화방법가유효지응용우전동비행기。
Primary parameter calculation and optimization methods of traditional aircraft are not suitable for electric aircraft.A set of effective equations are developed for theoretically predicting the primary pa-rameters of electric aircraft by introducingtherelevant coefficient .Because particle swarm algorithm is based onthe evolvement technology of colony intelligence and has the advantages of facility to multi -ob-jectiveoptimization problems with complex restrictions ,mathematical model is built fordoing multi-objec-tive optimal design on electric aircraft .1) study of the particle swarm algorithm in the optimizationof air-craft primary parameters selecting battery weight as the single goal ofoptimization;2) study of the particle swarm algorithm in the optimizationof aircraft primary parameters selecting power unit weight , battery weight ,lift-drag ratio and range as multi-goals ofoptimization;3 ) flow chart of optimization of electric aircraft primary parameters .Studies show that:compared with the statistics ,the example results show good consistency .Thus the proposed methods of primary parameter calculation and optimization can be effec-tively applied to electric aircraft .