低速大转矩永磁游标电机在发酵罐中的应用

采用秸秆生产丁醇时,为了达到高效率发酵,需要使发酵液中菌体分布均匀,所加物料需要及时搅拌。工业化生产丁醇的发酵罐尺寸较大,搅拌过程对驱动电机的输出转矩要求较高,因此高效率、小体积、低速大转矩的秸秆发酵搅拌电机对工业化发酵生产丁醇意义重大。设计了一种定转子永磁游标电机用于发酵液搅拌,并对电机的槽极数、电磁性能进行了具体的研究。制造样机并采用滞环控制实现了对液态发酵对象的快速响应,且实现了低能耗、高效率的发酵过程。     

A shortcut to marking 3D target curves on curved surface via a galvanometric laser scanner

Marking arbitrary three-dimensional(3D) target curves on given objects with curved surface is required in many industrial fields, such as fabric prepreg placement in composite material part fabrication, product assembly, surface painting for decoration, etc. A shortcut to the solution of this intractable problem is proposed by utilizing a galvanometric laser scanner(GLS) with the aid of a camera. Without using the existing tedious GLS calibration procedures,the proposed method directly establishes a mapping between the 3D coordinates of the laser spots on the object surface and the control voltages of the scanner. A single-hidden layer feedforward neural network(SLFN) is employed to model the mapping. By projecting a dense grid of laser spots on the object to be marked and simultaneously taking only one image, the SLFN model is trained in minutes via a linear solving mechanism. Experiments demonstrate that the trained SLFN model has a good generalization performance for marking 3D target curves. The 3D laser marking errors on experimental objects are less than 0.5 mm. The proposed method is especially suitable for on-site use and can be conveniently extended to multiple GLSs for marking large complex objects.     

设置绕行滑行道时的机场运行效率分析

目前,国外多个大型枢纽机场的绕行滑行道运行实例均表明,该滑行道能有效地提高机场运行效率。中国具有近距平行跑道的机场都有条件建设、运行绕滑。设置绕行滑行道能减少近距平行跑道机场的航空器跑道穿越次数,提高运行安全水平和航空器地面滑行效率,降低管制员工作负荷。通过建立有绕滑条件下进场航空器地面滑行路径的选择模型,并使用算例和对虹桥机场SIMMOD模拟计算证明了模型的实用性。计算分析表明,绕滑对减少航空器地面滑行时间作用显著,且机场高峰小时架次愈高作用愈明显。     

Real-time object tracking via least squares transformation in spatial and Fourier domains for unmanned aerial vehicles

This paper addresses the problem of real-time object tracking for unmanned aerial vehicles. We consider the task of object tracking as a classification problem. Training a good classifier always needs a huge number of samples, which is always time-consuming and not suitable for realtime applications. In this paper, we transform the large-scale least-squares problem in the spatial domain to a series of small-scale least-squares problems with constraints in the Fourier domain using the correlation filter technique. Then, this problem is efficiently solved by two stages. In the first stage, a fast method based on recursive least squares is used to solve the correlation filter problem without constraints in the Fourier domain. In the second stage, a weight matrix is constructed to prune the solution attained in the first stage to approach the constraints in the spatial domain. Then, the pruned classifier is used for tracking. To evaluate proposed tracker's performance, comprehensive experiments are conducted on challenging aerial sequences in the UAV123 dataset. Experimental results demonstrate that proposed approach achieves a state-ofthe-art tracking performance in aerial sequences and operates at a mean speed of beyond 40 frames/s. For further analysis of proposed tracker's robustness, extensive experiments are also performed on recent benchmarks OTB50, OTB100, and VOT2016.     

涡轮流量计前导流件有限元计算分析

对涡轮流量计关键部件之一前导流件运用NX THERMAL/FLOW进行有限元计算分析,得出流量分离导致的大涡旋尾迹区易出现在前导流件尾部区域、前导流件叶片形状对此处流体速度变化具有较大影响的结论,为涡轮流量计和前导流件的设计提供了理论依据。     

助推-滑行式燃料最优真空飞行轨迹的设计方法

建立了飞行器助推-滑行式燃料最优真空飞行轨迹的最优控制模型,给出了一种更为简单、直观的内点约束条件和横截条件的推导方法,讨论了高效且更为稳定的数值计算方法,提出了两种应用模式,通过与连续推力式和脉冲式飞行方案的比较,说明这种设计方法在节省燃料方面具有优势.     

舰载机着舰中侧风和常值甲板风的影响研究

舰载机要安全着舰,需要精确控制全着舰航线轨迹及其稳定性,风是影响舰载机着舰航线的主要因素。论文主要研究了侧风和常值甲板风对舰载机着舰飞行产生的影响,建立了影响舰载机着舰飞行的不同侧风、甲板风的数学模型。根据数学模型计算了不同甲板风和侧风下着舰飞行轨迹参数,从而提出了着舰飞行修正方法。     

A new structural reliability index based on uncertainty theory

The classical probabilistic reliability theory and fuzzy reliability theory cannot directly measure the uncertainty of structural reliability with uncertain variables,i.e.,subjective random and fuzzy variables.In order to simultaneously satisfy the duality of randomness and subadditivity of fuzziness in the reliability problem,a new quantification method for the reliability of structures is presented based on uncertainty theory,and an uncertainty-theory-based perspective of classical Cornell reliability index is explored.In this paper,by introducing the uncertainty theory,we adopt the uncertain measure to quantify the reliability of structures for the subjective probability or fuzzy variables,instead of probabilistic and possibilistic measures.We utilize uncertain variables to uniformly represent the subjective random and fuzzy parameters,based on which we derive solutions to analyze the uncertainty reliability of structures with uncertainty distributions.Moreover,we propose the Cornell uncertainty reliability index based on the uncertain expected value and variance.Experimental results on three numerical applications demonstrate the validity of the proposed method.