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811.
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基于准稳态气动力模型,推导了仿蜜蜂类昆虫扑翼气动力和力矩估算公式,建立了扑翼运动函数.将仿蜜蜂类昆虫扑翼视为空间运动刚体,在其动力学方程基础上,采用分层控制策略研究悬停控制问题.外层为位置控制,X和Y位置应用PD控制算法,Z位置应用切换控制方法;内层姿态控制采用切换控制方法,并选择了一套机翼运动参数用于切换控制.最后进行了仿蜜蜂类昆虫扑翼悬停控制仿真试验,试验结果表明所设计的控制策略是有效的,一旦昆虫扑翼受到干扰偏离平衡位置后,通过自动调节能够回到平衡位置附近. 相似文献
814.
阐明了PZT压电材料的正、逆压电效应以及相应的压电作动器的机电耦合原理。针对航天自适应桁架结构的特点,运用PZT压电作动器进行了振动抑制实验并取得了良好的效果。 相似文献
815.
816.
《中国航空学报》2023,36(4):104-119
Dielectric Barrier Discharge (DBD) based turbulent drag reduction methods are used to reduce the total drag on a NACA 0012 airfoil at low angels of attack. The interaction of DBD with turbulent boundary layer was investigated, based on which the drag reduction experiments were conducted. The results show that unidirectional steady discharge is more effective than oscillating discharge in terms of drag reduction, while steady impinging discharge fails to finish the mission (i.e. drag increase). In the best scenario, a maximum relative drag reduction as high as 64 % is achieved at the freestream velocity of 5 m/s, and a drag reduction of 13.7 % keeps existing at the freestream velocity of 20 m/s. For unidirectional discharge, the jet velocity ratio and the dimensionless actuator spacing are the two key parameters affecting the effectiveness. The drag reduction magnitude varies inversely with the dimensionless spacing, and a threshold value of the dimensionless actuator spacing of 540 (approximately five times of the low-speed streak spacing) exists, above which the drag increases. When the jet velocity ratio smaller than 0.05, marginal drag variation is observed. In contrast, when the jet velocity ratio larger than 0.05, the experimental data bifurcates, one into the drag increase zone and the other into the drag reduction zone, depending on the value of dimensionless actuator spacing. In both zones, the drag variation magnitude increases with the jet velocity ratio. The total drag reduction can be divided into the reduction in pressure drag and turbulent friction drag, as well as the increase in friction drag brought by transition promotion. The reduction in turbulent friction drag plays an important role in the total drag reduction. 相似文献
817.
基于双重空间网格结合策略,发展了一种高效率的贴体DSMC(direct simulation Monte Carlo)方法。通过将仿真分子在物理空间结构网格的位置坐标映射于计算空间的直角网格中,并在计算空间中完成分子所属网格单元的定位以及分子与边界是否发生作用的判断,从而结合结构网格的贴体性和直角网格的高效率计算的优点,提高DSMC方法的贴体性和计算效率。基于双重空间网格结合策略,通过直接映射和间接映射法分别建立DSMC程序,对微尺度收缩扩张喷管气体流动和超声速圆柱绕流进行模拟。数值结果表明:两种方法均很好地模拟出微喷管因尺度缩小导致的黏性效应和速度滑移现象以及超声速圆柱绕流发生的激波现象,具备有效性。与传统结构网格方法对比,两种方法的计算效率平均分别提高了3.85倍和2.85倍,具备高效性。 相似文献
818.
The force-generation mechanism of a dovelike flapping-wing micro air vehicle was studied by numerical simulation and experiment. To obtain the real deformation pattern of the flapping wing, the digital image correlation technology was used to measure the dynamic deformation of the wing. The dynamic deformation data were subsequently interpolated and embedded into the CFD solver to account for the aeroelastic effects. The dynamic deformation data were further used to calculate the inertial forces... 相似文献
819.
The electro-hydrostatic actuator(EHA) used in more electric aircraft(MEA) has been extensively studied due to its advantages of high reliability and high integration. However, this high integration results in a small heat dissipation area, leading to high-temperature problems. Generally,to reduce the temperature, a wet cooling method of using the pump leakage oil to cool the motor is adopted, which can also increase the difficulty of accurately predicting the system temperature in the early desi... 相似文献
820.
《中国航空学报》2023,36(4):252-267
A common necessity for prior unsupervised domain adaptation methods that can improve the domain adaptation in unlabeled target domain dataset is access to source domain dataset and target domain dataset simultaneously. However, data privacy makes it not always possible to access source domain dataset and target domain dataset in actual industrial equipment simultaneously, especially for aviation component like Electro-Mechanical Actuator (EMA) whose dataset are often not shareable due to the data copyright and confidentiality. To address this problem, this paper proposes a source free unsupervised domain adaptation framework for EMA fault diagnosis. The proposed framework is a combination of feature network and classifier. Firstly, source domain datasets are only applied to train a source model. Secondly, the well-trained source model is transferred to target domain and classifier is frozen based on source domain hypothesis. Thirdly, nearest centroid filtering is introduced to filter the reliable pseudo labels for unlabeled target domain dataset, and finally, supervised learning and pseudo label clustering are applied to fine-tune the transferred model. In comparison with several traditional unsupervised domain adaptation methods, case studies based on low- and high-frequency monitoring signals on EMA indicate the effectiveness of the proposed method. 相似文献