中国机械工程
中國機械工程
중국궤계공정
CHINA MECHANICAl ENGINEERING
2015年
7期
903-911
,共9页
静态知识化制造环境%自进化%滚动时域%双层遗传算法%两阶段算法
靜態知識化製造環境%自進化%滾動時域%雙層遺傳算法%兩階段算法
정태지식화제조배경%자진화%곤동시역%쌍층유전산법%량계단산법
static knowledgeable manufacturing environment%self-evolution%rolling horizon%bi-level genetic algorithm(BiGA)%two-phase algorithm
针对静态知识化制造环境下的航空发动机装配车间，研究了知识化制造系统自进化问题，采用滚动时域方法实现了该装配车间的周期性自进化。根据问题的特点，建立了系统在每个决策时刻的静态子问题的数学模型，提出了基于初始决策方案的滚动规则，进而给出了一种求解自进化问题的两阶段算法。针对所建立的数学模型，设计了一种具有双层结构的遗传算法(BiGA)。最后通过仿真验证了模型和算法的有效性和可行性，并分析了滚动窗口和滚动步长的大小对生产性能的影响。
針對靜態知識化製造環境下的航空髮動機裝配車間，研究瞭知識化製造繫統自進化問題，採用滾動時域方法實現瞭該裝配車間的週期性自進化。根據問題的特點，建立瞭繫統在每箇決策時刻的靜態子問題的數學模型，提齣瞭基于初始決策方案的滾動規則，進而給齣瞭一種求解自進化問題的兩階段算法。針對所建立的數學模型，設計瞭一種具有雙層結構的遺傳算法(BiGA)。最後通過倣真驗證瞭模型和算法的有效性和可行性，併分析瞭滾動窗口和滾動步長的大小對生產性能的影響。
침대정태지식화제조배경하적항공발동궤장배차간，연구료지식화제조계통자진화문제，채용곤동시역방법실현료해장배차간적주기성자진화。근거문제적특점，건립료계통재매개결책시각적정태자문제적수학모형，제출료기우초시결책방안적곤동규칙，진이급출료일충구해자진화문제적량계단산법。침대소건립적수학모형，설계료일충구유쌍층결구적유전산법(BiGA)。최후통과방진험증료모형화산법적유효성화가행성，병분석료곤동창구화곤동보장적대소대생산성능적영향。
For an aircraft engine assembly workshop under static knowledgeable manufacturing environment,the self-evolution problem of knowledgeable manufacturing systems was studied.Roll-ing horizon method was adopted to implement the assembly workshop’s periodic self-evolution.On the basis of the characteristics of the problem,a mathematical model of the static sub-problem at each decision moment was established.A rolling rule was proposed based on the initial decision scheme, and a two-phase algorithm was given to solve the self-evolution problem.For the mathematical mod-el,a BiGA was proposed.Finally,simulation results demonstrate that the proposed model and algo-rithms are effective and feasible.The influences of the sizes of rolling window and rolling step on the production performance were also analyzed.
