Cooperative task assignment of multiple heterogeneous unmanned aerial vehicles using a modified genetic algorithm with multi-type genes

The task assignment problem of multiple heterogeneous unmanned aerial vehicles （UAVs）, concerned with cooperative decision making and control, is studied in this paper. The heterogeneous vehicles have different operational capabilities and kinematic constraints, and carry limited resources （e.g., weapons） onboard. They are designated to perform multiple consecutive tasks cooperatively on multiple ground targets. The problem becomes much more complicated because of these terms of heterogeneity. In order to tackle the challenge, we modify the former genetic algorithm with multi-type genes to stochastically search a best solution. Genes of chromo- somes are different, and they are assorted into several types according to the tasks that must be performed on targets. Different types of genes are processed specifically in the improved genetic operators including initialization, crossover, and mutation. We also present a mirror representation of vehicles to deal with the limited resource constraint. Feasible chromosomes that vehicles could perform tasks using their limited resources under the assignment are created and evolved by genetic operators. The effect of the proposed algorithm is demonstrated in numerical simulations. The results show that it effectively provides good feasible solutions and finds an optimal one.     

一种使用EPROM的时间增益补偿电路

本文简要介绍了医用超声波类仪器的基本原理，分析了超声波类仪器中普遍采用的Ｔ．Ｇ．Ｃ电路的不足。为克服上述电路的不足，本文提出了该电路的一种新的设计方法并在实际中实现了该方法。     

用最大值原理求某无人机的最优上升轨迹

为改进某无人机飞行性能，应用最大值原理求解无人机在垂直平面内的最优上升轨迹，推导了无人机最经济爬升所满足的极值方程；并用此方程和最快爬升极值方程这两类目标函数求解了某无人机的最优上升轨迹，计算结果表明，经优化后的爬升轨迹可以节省燃油，延长无人机的续航时间或快速爬升到预定的终点高度具有较好的性能收益。     

Synthesis of binary sequences with good autocorrelation andcrosscorrelation properties by simulated annealing

Simulated annealing is a statistical computational technique for obtaining approximate solutions to combinatorial optimization problems. An efficient simulated annealing algorithm is used to design binary sequence sets which have good autocorrelation and crosscorrelation properties. Some of the synthesized results are presented, and their properties are better than any other known in the literature. The synthesized binary sequence sets promise to be practically applicable     

Tool Materials Rapid Selection Based on Initial Wear

Based on a large amount of literature about tool wear research, 873 tool wear curves are taken as samples, and statistical analysis is carried out to select the most suitable tool from all the tool materials suggested by the tool manufacturers. Statistical relationships between the initial wear and uniform wear periods are obtained. The results show that there is qualitative relationship between wear rate during initial wear period (WRIWP) and wear rate in uniform wear period (WRUWP) to certain extent. On this basis, a tool material rapid selection method based on the initial wear is put forward, and suitable tool materials for machining titanium alloy are selected. The experimental results indicate that this method is effective and useful. The new tool materials rapid selection can be used to select suitable cutting tool materials quickly before carrying out systematic machinability tests with the most suitable tool materials. The technology can be applied to doing the initial selection of cutting tool materials in either the machinability research or the workshop production.     

基于稳定性优化对翼面结构设计带来的思考

通过构建简单模型来揭示飞行器翼面复杂结构中存在值得探讨的专题，是本文要研究的内容。以结构稳定性条件作为切入点，利用多格薄壁盒作为简化模型来模拟翼面结构的主要承力部分，巧妙地降低了问题的复杂性。其图形曲线特征表明：该优化问题的目标函数非凸不连续，而且还具有多个局部最优解；进一步的计算指出：无论是替换材料，还是增减载荷大小，或者改变几何参数的尺寸，此模型的最优结构拓扑形式均要发生变化。从本文所做的工作可以推知：无论从学术研究角度，还是工程应用方面，基于稳定性约束的翼面结构优化设计均是一个值得研究的专题。     

二维C/C复合材料高温力学、热物理性能研究

研究了二维C/C(2D -C/C)复合材料在高温下层剪强度、弯曲强度和模量、热导率和线膨胀系数的变化规律。结果表明 ,所制得的 2D -C/C复合材料的层剪强度随温度的升高变化不大、弯曲强度随测试温度的升高而增加 ;2 0 0 0℃的层剪强度、弯曲强度分别达到 1 4 .8MPa和 2 2 7.4MPa ,较室温分别提高了9.6 %和 6 0 %。弯曲模量在 1 0 0 0℃时增加到 39.4GPa ,在 2 0 0 0℃则下降 ,低于室温数值。 2D -C/C复合材料的热导率、线膨胀系数在z向和x -y向都具有明显的各向异性。未石墨化 2D -C/C复合材料 2 0 0℃的z向热导率是 4 .4 1W / (m·K) ,且随温度的升高而增加 ;而石墨化 2D -C/C复合材料 2 0 0℃的z向、x -y向热导率分别是 1 8.0 2W / (m·K)和 73.2 9W / (m·K) ,随温度的升高而下降。 2D -C/C复合材料在z向的线膨胀系数较大 ,80 0℃以内在 8× 1 0 - 6 /K～ 1 0× 1 0 - 6 /K之间 ;而在x -y向线膨胀系数在 80 0℃以内都很小 ,基本上接近于零     

基于经济性的公务机升阻特性优化展望

在可预见的未来,高性能、高效能的公务机将在世界公务机市场中日益重要。基于提高公务机空气动力效率的目的,讨论了未来可能应用于工程实际的升阻优化技术的优缺点,并展望了其应用前景。     

Impulse feature extraction method for machinery fault detection using fusion sparse coding and online dictionary learning

Impulse components in vibration signals are important fault features of complex machines. Sparse coding(SC) algorithm has been introduced as an impulse feature extraction method, but it could not guarantee a satisfactory performance in processing vibration signals with heavy background noises. In this paper, a method based on fusion sparse coding(FSC) and online dictionary learning is proposed to extract impulses efficiently. Firstly, fusion scheme of different sparse coding algorithms is presented to ensure higher reconstruction accuracy. Then, an improved online dictionary learning method using FSC scheme is established to obtain redundant dictionary and it can capture specific features of training samples and reconstruct the sparse approximation of vibration signals. Simulation shows that this method has a good performance in solving sparse coefficients and training redundant dictionary compared with other methods. Lastly, the proposed method is further applied to processing aircraft engine rotor vibration signals. Compared with other feature extraction approaches, our method can extract impulse features accurately and efficiently from heavy noisy vibration signal, which has significant supports for machinery fault detection and diagnosis.