飞行器三维航迹规划算法

提出了一种应用改进遗传算法进行飞行器三维航迹规划的方法。航迹由B样条曲线得到，以代表航迹的B样条曲线的控制顶点坐标值作为染色体的基因位进行浮点数编码。在计算染色个体的适应值函数时充分考虑了飞行器的动力约束以及规避障碍能力。仿真结果表明了该方法的有效性。     

基于遗传算法的军用飞行器航迹规划

为规划出飞行器在低空突防时的最优路径，本文主要采用遗传算法进行航迹规划。文中分析了遗传算法在求解路径规划问题时相对于其它算法的优点，并针对低空突防的特点和飞行器的机动能力，设计了有效的路径遗传算子，改进了简单遗传算法。其结果表明：该方法加快了遗传算法的收敛速度，避免了收敛到局部最优解，并能合理地利用规划区域内的地形与飞行器的机动能力，达到躲避敌方火力单元、有效打击目标的目的。     

基于遗传算法的军用飞行器航迹规划

为规划出飞行器在低空突防时的最优路径,本文主要采用遗传算法进行航迹规划.文中分析了遗传算法在求解路径规划问题时相对于其它算法的优点,并针对低空突防的特点和飞行器的机动能力,设计了有效的路径遗传算子,改进了简单遗传算法.其结果表明该方法加快了遗传算法的收敛速度,避免了收敛到局部最优解,并能合理地利用规划区域内的地形与飞行器的机动能力,达到躲避敌方火力单元、有效打击目标的目的.     

基本遗传算法的航迹规划算法研究

运用遗传算法研究低空突防飞行器的透迹规划问题,建立了基于遗传算法的航迹规划的一般模型,针对垂直轨迹规划问题进行了数字仿真,并分析算法的收敛速度和精度。结果表明,遗传算法可以很快收敛到精度较高的近似解,但在接近最优解一定程度后,收敛速度放慢。如何解决这一问题,有待进一步研究。     

基于Dubins曲线的高超声速飞行器路径规划

对于高超声速飞行器而言,在进行航迹规划时需要考虑很多的约束条件,主要的约束条件是有限的转弯半径和最短的飞行路径.针对这些问题,文中设计了一种基于Dubins曲线的高超声速飞行器路径规划算法,并对算法的通用性进行了仿真分析.结果表明,本算法能够为飞行器在起始位置和终止位置之间规划出一条满足约束条件的最短飞行轨迹,并且能够避开雷达探测、激光武器威胁、电子干扰威胁等威胁区域.     

两栖联合作战无人飞行器协同控制方法研究

在未来联合作战中,无人飞行器对未来的作战样式有着深远的影响。以海上和两栖作战无人飞行器为背景,分析了无人飞行器避撞的关键技术及其发展趋势,在无人飞行器目标检测、碰撞估计方法及避撞机动方法等方面进行了综述。提出了人工智能技术运用到无人机飞行防碰撞问题,并给出了研究方向。通过运用路径规划以及对飞行轨迹的预测原理,以实现无人飞行器在未知空域中的协同飞行防碰撞。最后,对碰撞检测技术的未来走向做出了展望。     

基于遗传算法的航空装备保障资源调度

运用遗传算法研究航空装备保障的资源调度优化问题，将网格路径优化与航空装备保障的实际相结合，通过网络优化、需求评估和路径优化建立了合适的航空装备保障资源调度参考模型和动态资源调度实施方案。运用遗传算法对资源调度进行规划的过程中对初始种群的产生和变异操作进行了改进，并用实例证实了该方法的有效性。     

基于改进GA 的多机舰面转运规划

针对复杂环境下的多舰载机舰面同时转运避碰规划问题,提出基于遗传算法的路径规划方法。分析多机 同时转运问题,设计目标函数和约束条件;建立舰载机碰撞检测计算公式、基于交通规则的等停策略和重规划策略、 非均匀有理B 样条(non-uniform ration B-spline,NURBS)平滑策略;通过遗传算法对不同数量舰载机同时转运场景 进行仿真。仿真试验结果表明：该方法在复杂环境下能有效规划出转运路径,可靠性好、适航性强,能为多机舰面 同时转运提供科学有效的决策方法。     

基于遗传算法的协同航迹规划算法研究

文中针对无人飞行器的协同航迹规划,提出了一种基于遗传算法的协同航迹规划算法。该算法采用双层进化机制,不同的飞行器生成各自的可行航迹种群用于下层进化;对不同飞行器的可行航迹进行组合形成协同航迹组种群用于上层进化。实验表明,该算法能够在较短的时间内规划出较优的协同航迹组;同时,由于下层进化中利用了状态表征矩阵和新的引导信息,使得收敛速度比标准遗传算法更快。     

基于拟平衡滑翔的再入轨迹快速规划方法

针对高超声速飞行器多约束条件下的再入轨迹规划问题,提出了一种基于拟平衡滑翔条件的三维再入轨迹快速规划方法;该方法充分利用滑翔式高超声速飞行器的再入飞行过程中的拟平衡滑翔条件,将过程约束转化为对倾侧角的约束;纵向轨迹规划采用直接规划倾侧角的方法,在倾侧角约束空间中利用内插的方法得到倾侧角剖面;侧向规划采用横程约束走廊确定倾侧角的反转时刻;最后,对该轨迹规划方法进行了算例分析,结果表明：该轨迹规划方法能够在满足各种过程约束和终端约束的情况下快速完成再入轨迹规划。     

Stability of the Third Generation Intensifier under Illumination

The stability under illumination of transmission-mode GaAs photocathode sealed in the third generation intensifier is investigated by use of spectral response testing instruments. The variations of spectral response with the illumination times under weak and intense illumination are compared. The variations of photoemission performance parameters are also characterized. The results show that during initial several weak illuminations photocathode behaves no evident decay and a maximum sensitivity is achieved, while under intense illumination the sensitivity of photocathode begin to decrease largely at the first illumination. The calculated performance parameters show that the variation of surface escape probability with illumination times is a direct cause of instability of photocathode. It is also found that under intense illumination peak wavelength is moved towards short-wave and peak response is decreased, which shows that the ability of long-wave response of photocathode is decreased.     

Passive Acoustic Radar for Detecting Supersonic Cruise Missile

A Passive Acoustic Radar is presented as a necessary complement to electromagnetic wave radar, which will be expected to be an effective means for detecting cruise missiles. Acoustic characteristics of supersonic flying projectiles with diverse shapes are expounded via experiment. It is pointed out that simulation experiment could be implemented using bullet or shell instead of cruise missile. Based on theoretical analysis and experiment, the ““acoustic fingerprint““ character of cruise missile is illustrated to identify it in a strong noise environment. After establishing a locating mathematical model, the technique of acoustic embattling is utilized to resolve a problem of confirming the time of early-warning, considering the fact that velocity of sound is much slower than that of light. Thereby, a whole system of passive acoustic radar for detecting supersonic cruise missile is formed.     

Design and Analysis of Test Schemes of Static Postponing Time on Shrapnels Used to Riot Control

The test scheme of static postponing time given in our actual national military test standard on shrapnels used to control riot is a nine-point test scheme on the combined action of three kinds of temperatures and three kinds of pressures,the consumed ammunitions are more excessive. Statistic analysis and tentative checkout about a lot of test data are done,feasibility gists are put forward for optimizing of the test design scheme. The optimizing design and data analysis of test scheme of the item are done by managing uniformity design theory, two scientific and reasonable six-point test schemes are confirmed. The feasibility and reliability of the optimizing design schemes put forward above are proved ulteriorly by test validating. The gained schemes not only have good design uniformity and little ammunition wastage and meet the test demand, but also have better forecast ability for the result data of other points using the mathematic models from the actual test points.     

Super-resolution Restoration of Remote-sensing Images

A novel image restoration scheme, which is super-resolution image restoration algorithm Poisson-maximum-afterword-probability based on Markvo constraint （MPMAP） combined with evaluating image detail parameter D, has been proposed. The advantage of super-resolution algorithm MPMAP incorporated with parameter D lies in the fact that superresolution algorithm MPMAP model is discrete, which is in accordance with remote-sensing imaging model, and the algorithm MPMAP is proved applicable to linear and non-linear imaging models with a unique solution when noise is not severe. According to simulation experiments for practical images, super-resolution algorithm MPMAP can retain image details better than most of traditional restoration methods; at the same time, the proposed parameter D can help to identify real point spread function （PSF） value of degradation process. Processing result of practical remote-sensing images by MPMAP combined with parameter D are given, it illustrates that MPMAP restoration scheme combined PSF estimation has a better restoration result than that of Photoshop processing, based on the same original images. It is proved that the proposed scheme is helpful to offset the lack of resolution of the original remote-sensing images and has its extensive application foreground.     

Design and Simulation of TF and TA Controller for Missile

A nonlinear terrain following(TF) and terrain avoidance(TA) controller is proposed for missile control systems. Based on classical TF algorithm (adaptive angle method), a new method for TF controller is proposed by using angle of attack. A method of obtaining terrain outline data from digital elevation map (DEM) for TF control is discussed in order to save store space. A TA algorithm is proposed by using bank-to-turn technique. The block control model, which is suitable for backstepping design, is given for nonlinear model of missile. Making full use of the characteristics of the system and combining block control principle and backstepping technique, a robust controller design method is proposed. Uncertainties in every sub-block are allowed, and can be canceled by using the idea of nonlinear damping. It is proved that the state tracking errors are converged to a neighborhood of the origin exponentially. Finally, nonlinear six-degree-of-freedom simulation results for the missile model are presented to demonstrate the effectiveness of the proposed control law.     

Design of Non-fragile Satisfactory Estimator for Linear Continuous Perturbed Stochastic Systems

The design problem of non-fragile estimator is addressed for a class of perturbed linear continuous systems. The perturbations occur on the plant and estimator parameters. The estimator designed should force the error system to achieve the desired decay rate and force the steady error variance less than the specified upper bound irrdevancy of the admissible plant perturbations and estimator perturbations. Consistency problem of the decay rate with the variance upper bound is first considered via linear matrix inequality （LMI） approach. The solution of the estimator parameter under specifications to be consistent is then discussed. The consistency condition of specifications and estimator parameter solution are transformed to feasible or minimum problems subject to a set of LMI respectively. The method is illustrated by a numerical example.     

An Improved Scene-based Nonuniformity Correction Algorithm for Infrared Focal Plane Arrays Using Neural Networks

The improved scene-based adaptive nonuniformity correction （NUC） algorithms using a neural network （NNT） approach for infrared image sequences are presented and analyzed. The retlna-like neural networks using steepest descent model was the first proposed infrared focal plane arrays （IRFPA） nonuniformity compensation method, which can perform parameter estimation of the sensors over time on a frame by frame basis. To increase the strength and the robustness of the NNT algorithm and to avoid the presence of ghosting artifacts, some optimization techniques, including momentum term, regularization factor and adaptive learning rate, were executed in the parameter learning process. In this paper, the local median filtering result of Xij （ n ） is proposed as an alternative value of desired network output of neuron Xij （ n ）, denoted as Tij （ n ）, which is the local spatial average of Xij （ n ） in traditional NNT methods. Noticeably, the NUC algorithm is inter-frame adaptive in nature and does not rely on any statistical assumptions on the scene data in the image sequence. Applications of this algorithm to the simulated video sequences and real infrared data taken with PV320 show that the correction results of image sequence are better than that of using original NNT approach, especially for the short-time image sequences （several hundred frames） subjected to the dense impulse noises with a number of dead or saturated pixels.     

Piecewise Filter of Infrared Image Based on Moment Theory

The disadvantages of IR images mostly include high noise, blurry edge and so on. The characteristics make the existent smoothing methods ineffective in preserving edge, To solve this problem, a piecewise moment filter （PMF） is put forward. By using moment and piecewise linear theory, the filter can preserve edge. Based on the statistical model of random noise, a related-coefficient method is presented to estimate the variance of noise. The edge region and model are then detected by the estimated variance. The expectation of first-order derivatives is used in getting the reliable offset of edge. At last, a fast moment filter of double-stair edge model is used to gain the piecewise smoothing results and reduce the calculation. The experimental result shows that the new method has a better capability than other methods in suppressing noise and preserving edge.     

Bistatic Sonar Localization Based on Best Linear Unbiased Estimation

A best linear unbiased estimation （BLUE） algorithm for bistatic sonar localization is proposed. The Cramer-Rao bound for bistatic Sonar and the geometrical dilution of precision （GDOP） in different conditions are given. The simulation results show that the location accuracy of BLUE algorithm is higher than the weighted least square method.     

Research on Gear-broken Fault Diagnosis in a Tank Gearbox

A fault diagnosis method of working position gear in a tank gearbox is put forward based on simulating the fault of working position gear in an actual tank, extracting the envelope of vibration signal by Hilbert transformation amplitude demodulation method, and zooming the low-frequency band to envelope signal.