本文關(guān)鍵詞： 復(fù)雜低空 多飛行器 多目標(biāo) 進(jìn)化算法 路徑規(guī)劃　出處：《南京航空航天大學(xué)學(xué)報》2017年S1期 　論文類型：期刊論文

【摘要】：由于低空空域環(huán)境復(fù)雜,威脅通用航空器運(yùn)行安全。復(fù)雜低空多飛行器航跡規(guī)劃方法是保障安全、提高效率的關(guān)鍵技術(shù)。在特定空域范圍內(nèi),依據(jù)地形特點(diǎn)、環(huán)境威脅以及飛行器自身物理條件等約束和安全效率等性能指標(biāo),為飛行器規(guī)劃出最優(yōu)航跡。然而,多飛行器的航跡規(guī)劃問題存在多約束、強(qiáng)耦合、多目標(biāo)等難點(diǎn),現(xiàn)有方法缺乏對問題先驗知識的挖掘和利用,導(dǎo)致難以兼顧安全與效率。針對多飛行器航跡規(guī)劃問題,建立了多飛行器航跡優(yōu)化多目標(biāo)模型。為了進(jìn)一步提升優(yōu)化效率,基于啟發(fā)式算子的自適應(yīng)差分多目標(biāo)進(jìn)化算法,引入多種群協(xié)同進(jìn)化,每個飛行器通過不同種群獨(dú)立進(jìn)化,建立合作機(jī)制提升種群進(jìn)化質(zhì)量,避免陷入極值。最后通過二維與三維仿真實驗驗證了算法的可行性和有效性。
[Abstract]:Because of the complexity of the low-altitude airspace environment, it threatens the safety of general purpose aircraft. The track planning method of complex low-altitude multi-aircraft is the key technology to ensure the safety and improve the efficiency. In the specific airspace range, according to the characteristics of the terrain. Environmental threats, physical conditions of aircraft and other performance indicators such as safety efficiency and other constraints, planning the optimal trajectory for aircraft. However, there are multiple constraints and strong coupling for multi-vehicle trajectory planning problem. Due to the lack of prior knowledge mining and utilization, it is difficult to take safety and efficiency into account. In order to further improve the optimization efficiency, an adaptive differential multi-objective evolutionary algorithm based on heuristic operator is proposed, and multi-group co-evolution is introduced. By independent evolution of different populations, each vehicle establishes a cooperative mechanism to improve the quality of population evolution and avoid falling into extremum. Finally, the feasibility and effectiveness of the algorithm are verified by two-dimensional and three-dimensional simulation experiments.
【作者單位】： 中國民航管理干部學(xué)院通用航空系;
【基金】：國家自然科學(xué)基金民航聯(lián)合基金(U1533119)資助項目
【分類號】：V328.3
【正文快照】： 引用格式:管祥民,呂人力.基于協(xié)同進(jìn)化的復(fù)雜低空下多飛行器協(xié)同航跡規(guī)劃方法[J].南京航空航天大學(xué)學(xué)報,2017,49(S):89-95.GUAN Xiangmin,L媲Renli.Complex low-altitude airspace multi-aircraft cooperation path planning meth-od based on cooperative coevolutionary[J].

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