厦门理工学院学报
廈門理工學院學報
하문리공학원학보
JOURNAL OF XIAMEN UNIVERSITY OF TECHNOLOGY
2011年
4期
23-26
,共4页
展开机构%空间环境%惯性%模型%人工神经网络%可靠性理论
展開機構%空間環境%慣性%模型%人工神經網絡%可靠性理論
전개궤구%공간배경%관성%모형%인공신경망락%가고성이론
expand mechanism%space environment%inertia%model%artificial neural network%reliability theory
提出惯性展开机构运动参数动态可靠性分析方法，建立了惯性展开机构运动参数动态可靠性分析模型．将驱动力（矩）、摩擦和阻尼力（矩）等作为随机变量，应用蒙特卡罗方法，取得动态参数样本，再利用人工神经网络方法，用随机抽取的样本对网络进行训练，统计网络输出的动态参数分布，得到惯性展开机构动态可靠度．空间站惯性展开机构动态可靠度计算实例表明，该方法简单实用，计算成本低．
提齣慣性展開機構運動參數動態可靠性分析方法，建立瞭慣性展開機構運動參數動態可靠性分析模型．將驅動力（矩）、摩抆和阻尼力（矩）等作為隨機變量，應用矇特卡囉方法，取得動態參數樣本，再利用人工神經網絡方法，用隨機抽取的樣本對網絡進行訓練，統計網絡輸齣的動態參數分佈，得到慣性展開機構動態可靠度．空間站慣性展開機構動態可靠度計算實例錶明，該方法簡單實用，計算成本低．
제출관성전개궤구운동삼수동태가고성분석방법，건립료관성전개궤구운동삼수동태가고성분석모형．장구동력（구）、마찰화조니력（구）등작위수궤변량，응용몽특잡라방법，취득동태삼수양본，재이용인공신경망락방법，용수궤추취적양본대망락진행훈련，통계망락수출적동태삼수분포，득도관성전개궤구동태가고도．공간참관성전개궤구동태가고도계산실례표명，해방법간단실용，계산성본저．
Methodology of inertia expanding mechanism kinematical parameters dynamical reliability analysis was presented. A general model of kinematical parameters dynamical reliability was introduced for inertia expanding mechanism. Stochastic variables including driven forces, torques, frictions and damps were considered basically. First, Monte Carlo（MC） method was applied to generate stochastic variables and dynamical responds of mechanism. Then, the application of Artificial Neural Network（ANN） was motivated by the approximate concepts inherent in reliability analysis and time consuming repetition required for MC. Finally, statistical distribution of kinematical parameters was yielded from the outputs of ANN. As an example, a space station inertia expanding mechanism model was employed to test this method. The results proved that this method could be used to account for the complicated dynamical reliability analysis at a reasonable computational cost.
