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281.
外形偏差是典型的叶片气动不确定性影响因素,考虑几何设计参数不确定性影响的叶片稳健性气动设计优化(RADO)有助于提高叶片平均气动性能及气动稳健性。首先,介绍RADO的基本原理及实现方法,采用基于灵敏度分析的叶片气动不确定性量化方法计算叶片目标气动函数的统计值,并实现目标函数对设计参数的梯度计算。然后,开展考虑设计参数不确定性影响的HS1A跨声速涡轮叶栅RADO研究,降低总压损失系数的统计均值及方差;通过与确定性气动设计优化(DADO)对比,揭示RADO在改善优化叶片气动稳健性方面的有效性和优越性。最后,对叶片进行流场统计分析,进一步揭示气动外形优化设计对降低总压损失系数敏感度的影响机理。 相似文献
282.
Kalman滤波在组合导航中的应用已很广泛,但是,在系统不确定情况下,误差出现发散,精度下降,采用的基于Riccati方程的H∞滤波技术对系统噪声的不确定性则具有一定的鲁棒性,但性能参数选取仅能凭经验而无系统的方法,给工程实践带来一定困难.根据现代控制理论最优控制理论思想,使用凸优化技术设计鲁棒混合H2/H∞滤波器融合高精度的GPS和CNS量测信息,解决系统不确定性问题,通过在惯性/卫星/天文组合系统中的半物理数据仿真进一步对混合H2/H∞滤波和H∞滤波算法进行了比较.仿真结果表明,真实器件噪声情况下,鲁棒混合H2/H∞滤波算法明显具有良好的精度. 相似文献
283.
Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles 总被引:3,自引:0,他引:3
Wen Yao Xiaoqian Chen Wencai Luo Michel van Tooren Jian Guo 《Progress in Aerospace Sciences》2011,47(6):450-479
This paper presents a comprehensive review of Uncertainty-Based Multidisciplinary Design Optimization (UMDO) theory and the state of the art in UMDO methods for aerospace vehicles. UMDO has been widely acknowledged as an advanced methodology to address competing objectives of aerospace vehicle design, such as performance, cost, reliability and robustness. However the major challenges of UMDO, namely the computational complexity and organizational complexity caused by both time-consuming disciplinary analysis models and UMDO algorithms, still greatly hamper its application in aerospace engineering. In recent years there is a surge of research in this field aiming at solving these problems. The purpose of this paper is to review these existing approaches systematically, highlight research challenges and opportunities, and help guide future efforts. Firstly, the UMDO theory preliminaries are introduced to clarify the basic UMDO concepts and mathematical formulations, as well as provide a panoramic view of the general UMDO solving process. Then following the UMDO solving process, research progress of each key step is separately surveyed and discussed, specifically including uncertainty modeling, uncertainty propagation and analysis, optimization under uncertainty, and UMDO procedure. Finally some conclusions are given, and future research trends and prospects are discussed. 相似文献
284.
介绍了0~25 mm数显千分表的示值误差测量结果的不确定度分析,表明了用TWIN-CHECK1200测长机进行校准的可行性. 相似文献
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For structural systems with both epistemic and aleatory uncertainties, research on quantifying the contribution of the epistemic and aleatory uncertainties to the failure probability of the systems is conducted. Based on the method of separating epistemic and aleatory uncertainties in a variable, the core idea of the research is firstly to establish a novel deterministic transition model for auxiliary variables, distribution parameters, random variables, failure probability, then to propose the improved importance sampling(IS) to solve the transition model. Furthermore,the distribution parameters and auxiliary variables are sampled simultaneously and independently;therefore, the inefficient sampling procedure with an ‘‘inner-loop' for epistemic uncertainty and an‘‘outer-loop' for aleatory uncertainty in traditional methods is avoided. Since the proposed method combines the fast convergence of the proper estimates and searches failure samples in the interesting regions with high efficiency, the proposed method is more efficient than traditional methods for the variance-based failure probability sensitivity measures in the presence of epistemic and aleatory uncertainties. Two numerical examples and one engineering example are introduced for demonstrating the efficiency and precision of the proposed method for structural systems with both epistemic and aleatory uncertainties. 相似文献
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