民用飞机系列商载航程匹配设计

民用飞机产品开发的模式已从"单型飞机"的概念向"飞机系列"概念转化.根据模块化和通用性的策略,发展了飞机系列化设计方法,给出了飞机系列主要参数的设计原则和飞机系列经济性的描述方法,建立了飞机系列商载航程匹配设计模型.分析了商载和航程的匹配关系对飞机系列经济性的影响,利用Pareto多目标遗传算法,完成了某一民用飞机系列商载和航程的匹配设计,对不同设计方案的参数进行了比较分析,取得了较好的设计结果.     

基于启发式自适应离散差分进化算法的多UCAV协同干扰空战决策

 研究了多无人作战飞机(UCAV)协同干扰空战决策(MUCJAD)问题,在干扰效能评估指标量化方法的基础上为该问题建立了优化模型。为有效求解该模型,提出一种启发式自适应离散差分进化(H-SDDE)算法。在H-SDDE算法中,设计了包含4种候选解产生策略的候选策略池,引入了候选解产生策略及其参数的自适应学习过程。此外,结合实际问题为算法设计了基于威胁度的扩展型整数编码方案、基于威胁度的启发式个体调整操作、基于约束满足的个体修复操作。在12个测试实例上进行了仿真验证,结果表明,H-SDDE算法与其他同类算法相比在求解质量和求解速度上具有明显优势,能够更好地发挥多UCAV协同干扰整体效果。     

一种强耦合Spalart-Allmaras湍流模型的RANS方程的高效数值计算方法

在工程实际中,一方程湍流模型或两方程湍流模型的求解通常和雷诺平均Navier-Stockes (RANS)方程的求解是解耦的,也称之为松耦合求解.在松耦合求解过程中,RANS方程和湍流模型方程通常采用不同的数值方法异步求解.这种求解方式很容易产生因两者计算精度不一致而引起的额外数值耗散.为了消除这种耗散,将RANS方程与Spalart-Allmaras模型方程耦合成一个系统方程——强耦合RANS方程,并发展了一种用于求解该系统方程的高效强耦合算法,其中对流项离散采用了Roe格式,时间项的离散采用了隐式LU-SGS(Lower-Upper Symmetric Gauss-Seidel)格式,为了提高计算效率,采用了三层V循环多重网格方法.通过翼型/机翼和振荡翼型/机翼等算例验证了本文发展的强耦合算法不仅具有较好的收敛性,而且计算精度明显优于松耦合算法,特别对于阻力的预测,强耦合算法更加准确.     

机动再入体的带落角约束扩展比例导引律设计

传统的各种制导律都是以获得最小脱靶量为最终目标,没有考虑到导弹击中目标时刻的末端落角.为了保证非自旋再入体完成精确打击目标的任务,针对非自旋再入体垂直打击目标的制导问题,设计了一种带落角约束的扩展比例导引律.仿真研究表明,所设计的末制导律能够保证非自旋再入体命中目标时的脱靶量和末端落角都能满足要求,可以为开展近空间非自旋再入体制导问题的研究提供测试平台.     

基于改进遗传算法的飞行控制律参数设计

在进行大包线飞行控制律设计中,需将飞行包线分为几个区域,针对各个区域设计线性控制律,采用多个线性控制律来近似替代所需的非线性控制律,本文中线性控制律采用PID控制结构,若用传统PID控制律参数整定方法,工作烦琐、设计时间长,而且控制效果不是很好,提出运用遗传算法优化控制律参数,并针对遗传算法局部寻优能力差、收敛速度差、易早熟等缺点,对其进行了几点改进,为提高鲁棒性,对其适应函数进行了设计,针对某机型某个区域的俯仰控制进行了PID控制律设计仿真,利用改进的遗传算法对其参数进行优化,结果表明,该方法在23代就能得到最优控制参数,而且使系统动态性能有了较明显的提高。     

Coordinated adaptive beamformer over distributed antenna network

The spatial diversity of distributed network demands the individual filter to accommodate the topology of interference environment. In this paper, a type of distributed adaptive beamformer is proposed to mitigate interference over coordinated antenna arrays network. The proposed approach is formulated as generalized sidelobe canceller (GSC) structure to facilitate the convex combination of neighboring nodes’ weights, and then it is solved by unconstrained least mean square (LMS) algorithm due to simplicity. Numerical results show that the robustness and convergence rate of antenna arrays network can be significantly improved in strong interference scenario. And they also clearly illustrate that mixing vector is optimized adaptively and adjusted according to the spatial diversity of the distributed nodes which are placed in different power of received signals to interference ratio (SIR) environments.     

Comparison of strapdown inertial navigation algorithm based on rotation vector and dual quaternion

 For the navigation algorithm of the strapdown inertial navigation system, by comparing to the equations of the dual quaternion and quaternion, the superiority of the attitude algorithm based on dual quaternion over the ones based on rotation vector in accuracy is analyzed in the case of the rotation of navigation frame. By comparing the update algorithm of the gravitational velocity in dual quaternion solution with the compensation algorithm of the harmful acceleration in traditional velocity solution, the accuracy advantage of the gravitational velocity based on dual quaternion is addressed. In view of the idea of the attitude and velocity algorithm based on dual quaternion, an improved navigation algorithm is proposed, which is as much as the rotation vector algorithm in computational complexity. According to this method, the attitude quaternion does not require compensating as the navigation frame rotates. In order to verify the correctness of the theoretical analysis, simulations are carried out utilizing the software, and the simulation results show that the accuracy of the improved algorithm is approximately equal to the dual quaternion algorithm.     

基于稳定约束的自适应随机共振转子故障检测方法

为解决应用传统遗传算法优化的随机共振(Stochastic resonance, SR)方法易出现的计算发散问题,提出一种基于稳定约束的自适应随机共振方法。对求解随机共振的Langevin方程进行了稳定性分析,得到了考虑输入信号的条件下,使系统输出稳定的频率压缩比R的约束公式。将该稳定性条件应用于遗传算法参数的寻优过程,将原来的无约束最优化问题转化为有约束最优化问题。将改进后的自适应随机共振方法应用于转子早期碰摩故障检测,分析结果表明,该方法确保了系统输出的稳定性,寻优过程中的频率压缩比R的取值均在约束值以下,避免了计算发散现象,实现了在强噪声条件下对微弱故障信号的提取。      

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.     

调压阀快速开关定位控制算法研究

介绍了针对某车载气动试验设备中配置的特种高压调压阀而开发的一种控制算法,目的是将调压阀用于快速开关定位控制与压力调节双重任务。配置有快速阀和调压阀的系统,对调节过渡时间有严格的要求。调压阀用于根据实际系统工艺的要求,改变调压阀后的压力,以跟踪系统气源压力的变化。快速阀用于快速接通系统工作介质。由于受车载空间限制,通过本方案的改造,可以使系统不需使用快速阀,减小系统空间的占用,适合车载系统等对空间要求苛刻的场所。笔者提出的调压阀快速开关控制算法,经过实际验证,证明方法可行,效果良好,满足实际的需要。