Adaptive double chain quantum genetic algorithm for constrained optimization problems

Optimization problems are often highly constrained and evolutionary algorithms(EAs)are effective methods to tackle this kind of problems. To further improve search efficiency and convergence rate of EAs, this paper presents an adaptive double chain quantum genetic algorithm(ADCQGA) for solving constrained optimization problems. ADCQGA makes use of doubleindividuals to represent solutions that are classified as feasible and infeasible solutions. Fitness(or evaluation) functions are defined for both types of solutions. Based on the fitness function, three types of step evolution(SE) are defined and utilized for judging evolutionary individuals. An adaptive rotation is proposed and used to facilitate updating individuals in different solutions.To further improve the search capability and convergence rate, ADCQGA utilizes an adaptive evolution process(AEP), adaptive mutation and replacement techniques. ADCQGA was first tested on a widely used benchmark function to illustrate the relationship between initial parameter values and the convergence rate/search capability. Then the proposed ADCQGA is successfully applied to solve other twelve benchmark functions and five well-known constrained engineering design problems. Multi-aircraft cooperative target allocation problem is a typical constrained optimization problem and requires efficient methods to tackle. Finally, ADCQGA is successfully applied to solving the target allocation problem.     

ULF/ELF ionospheric electric field and plasma perturbations related to Chile earthquakes

ULF/ELF electric field perturbations in the ionosphere have been widely observed by the satellites. In this paper, we develop a method of Logarithm Electric Field Intensity (LEFI) to automatically distinguish this kind of disturbances based on the spectrum intensity and its damping exponent with frequency in electromagnetic signals. This method is applied to DEMETER data processing around Chile earthquakes with magnitude larger than 6.0. It is found that 2/3 earthquakes have shown obvious ULF/ELF electric field perturbations in this region. The temporal and spatial distributions of electron density and temperature were compared with that of electric field, which proved the existence of irregularities above epicentral area. Finally, the coupling mechanism of earthquake-ionosphere is discussed based on multi-parameter analysis.     

改进电磁阀动态特性的一种方法

从建立螺管型电磁阀的数学模型入手 ,给出了不同保护回路的阀门开、关时间表达式 ,从而寻找出提高阀门动态特性的途径 ,并给出了试验验证     

逆系统方法在航天器姿态控制系统中的应用

微分几何方法是非线性控制的传统方法 ,但该方法比较抽象 ,且使用过程中计算繁琐。作为多变量非线性控制的新理论 ,逆系统方法通过研究和引入逆系统理论中的一些概念和结果 ,如α阶积分逆、伪线性系统等 ,来形成非线性系统的反馈线性化。它具有物理概念清晰、适用面宽、应用简便的优点。本文首先介绍了逆系统方法的基本思想 ,然后将其用于航天器非线性姿态控制系统的设计中。仿真结果表明 ,航天器的姿态角以较高的精度快速跟踪目标值 ,最终偏差满足要求 ,系统性能良好。     

某型联翼布局无人机的气动计算与分析

与常规布局飞机相比,联翼布局飞机具有结构重量轻、抗弯扭强度大、诱导阻力低、升力系数大和稳定性好等优点。介绍一种高效的数值模拟方法,完成对某型联翼布局无人机气动特性的初步计算与分析。基于商业软件ANSYS,整个研究过程着重于从网格建模、全机流场模拟、气动模拟数据分析三个方面,探索该型无人机纵向、横向和航向的气动特性以及主操纵面的操纵效率,实现对该型无人机稳定性和操纵性能的表征与评估。结果表明:无人机升降舵偏角的变化不影响无人机的握杆静稳定度,并且在0°~25°的升降舵偏角(下偏)范围内,升降舵偏角与升降舵的升力系数基本呈线性变化;在-4°~12°的迎角范围内,随着迎角的不断增大,该型无人机的横向静稳定性水平越大;两个垂直翼和垂尾是产生航向静稳定性的主要部件。     

低轨低倾角卫星总体适应性方案研究

针对低轨低倾角卫星的复杂光照特性开展了深入分析,并论述了其对卫星总体设计的具体影响.基于轨道面光照角大动态周期变化规律,系统地提出了四种典型的卫星总体适应性方案并比对分析了各方案特点,最后结合载荷、任务等约束条件给出了方案选择建议.可作为低轨低倾角卫星的总体设计参考.     

空间目标的地面光谱特性和星等估计

针对自适应光学系统将要探测的空间非自发光目标,进行了光谱特性和星等估计的研究;研究了空间非自发光目标反射太阳光穿过大气层而进入自适应光学系统的波前探测器的子孔径内的光子速率;同时还针对反射太阳光的空间目标亮度太低,研究了激光照射目标后的相应情况。     

蒸汽轮机长叶片颤振预估方法研究

本文根据叶栅实验和流场计算结果对蒸汽轮机末级流动特征进行了分析。在小容积流量工况,末级流场可分为根部脱流区、脱流区之上的主流区叶栅槽道存在附体流区和分离区。三区大小随容积流量变化。由于末级流动复杂,发展工程上实用的算法很有吸引力。实验结果和理论分析表明,在小容积流量工况容易诱发叶片自激振动。为了能预估叶片颤振,本文发展了系列变形激盘法(机时少,适于工程应用)、数值方法 (能给出叶片表面压力分布和激波振荡,有助于了解叶片颤振发作机理)。经实验证明,可以用于叶片设计阶段颤振预估。      

无限大金属平板上开有二维周期性孔阵的散射特性分析

本文利用矩量法分析了无限大金属平板上开有二维周期性孔阵的电磁散射特性。通过引入广义波导的概念,可以统一分析孔径形状为任意的这类频率选择表面。作为示例,分别计算了无限大平板上开有矩形、圆形和等边三角形孔阵的散射特性。结果与现有文献中给出的数据极为一致。     

辐板式结构齿轮传动系统的振动

本文以一个典型的齿轮传动系统为例,讨论了辐板式结构对系统固有频率和振型等动态特性的影响,并进一步计算了当辐板柔度不同时系统的动态响应,得到了轮齿上的动载荷,分析了辐板柔度的影响和附加阻尼的效用,得出一些规律性的结论,以指导辐板结构的设计及其在减振降噪方面的应用。