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.     

Validation of numerical prediction of dynamic derivatives: The DLR-F12 and the Transcruiser test cases

The dynamic derivatives are widely used in linear aerodynamic models in order to determine the flying qualities of an aircraft: the ability to predict them reliably, quickly and sufficiently early in the design process is vital in order to avoid late and costly component redesigns. This paper describes experimental and computational research dealing with the determination of dynamic derivatives carried out within the FP6 European project SimSAC. Numerical and experimental results are compared for two aircraft configurations: a generic civil transport aircraft, wing-fuselage-tail configuration called the DLR-F12 and a generic Transonic CRuiser, which is a canard configuration. Static and dynamic wind tunnel tests have been carried out for both configurations and are briefly described within this paper. The data generated for both the DLR-F12 and TCR configurations include force and pressure coefficients obtained during small amplitude pitch, roll and yaw oscillations while the data for the TCR configuration also include large amplitude oscillations, in order to investigate the dynamic effects on nonlinear aerodynamic characteristics. In addition, dynamic derivatives have been determined for both configurations with a large panel of tools, from linear aerodynamic (Vortex Lattice Methods) to CFD. This work confirms that an increase in fidelity level enables the dynamic derivatives to be calculated more accurately. Linear aerodynamics tools are shown to give satisfactory results but are very sensitive to the geometry/mesh input data. Although all the quasi-steady CFD approaches give comparable results (robustness) for steady dynamic derivatives, they do not allow the prediction of unsteady components for the dynamic derivatives (angular derivatives with respect to time): this can be done with either a fully unsteady approach i.e. with a time-marching scheme or with frequency domain solvers, both of which provide comparable results for the DLR-F12 test case. As far as the canard configuration is concerned, strong limitations for the linear aerodynamic tools are observed. A key aspect of this work are the acceleration techniques developed for CFD methods, which allow the computational time to be dramatically reduced while providing comparable results.     

空间自适应光学研究

文章阐述了空间成像光学系统发展状况,揭示了空间自适应光学的重要意义;从误差源、系统一体化建模与仿真、关键技术及地面实验验证系统四方面探讨了空间自适应光学的主要研究内容．并提出了其未来的前沿研究方向。     

歼击机配装主动雷达制导导弹关键技术研究

结合某型飞机的研制 ,总结了歼击机配装主动雷达型导弹需要解决的关键技术 ,论述了解决这些关键技术的一般技术途径和方法。     

DAC器件Sinc函数衰落的补偿方法研究

文章主要介绍了DAC器件在幅频特性上存在的Sinc函数衰落特性，分析了该现象产生的机理。针对性地提出了三种解决办法：采用数字内插技术提高转换速率方法、采用数字滤波器进行预失真处理方法、采用模拟滤波器进行后补偿处理方法。并对其分别进行了详细分析，给出了补偿后的效果。     

Polarization studies of magnetic cataclysmic variables

I discuss methods and results in the use of photo-polarimetry and spectro-polarimetry in the studies of magnetic cataclysmic variables. In particular I show how polarimetry can be used to derive the geometry of the accretion region on the surface of the white dwarf, the accreting geometry of the system as a whole and how polarimetry aides in the interpretation of X-ray/optical photometry and spectroscopy. I finish by describing the high speed spectro-polarimetric capabilities of SALT (Southern African Large Telescope) due for completion in 2005.     

三点法测量直线度和平面度的数学模型

本文通过分析和研究三点法误差分离技术,建立了测量和评定工件直线度、平面度的数学模型。     

用最优轨迹分析法研究战斗机的敏捷性

利用最优轨迹分析法确定战斗机的敏捷性，并将最优控制问题转换为参数优化问题，由非线性数学规划理论解出参数变化规律。从典型示例飞机分析了不同迎角限制和推力下的控制策略及对功能敏捷性的影响。仿真结果表明，在转弯过程中适当放宽迎角限制和增加推力都能增大转弯速率，缩短转弯时间，从而改善飞机的功能敏捷性。     

高技术是高校科技产业的选择——从德国染料工业的发展看高校的科技产业

德国染料工业发展的历史证明，高校的科技产业只有依据持续的技术创新，才能不断地发展壮大。当前要借助股份制的改造理顺高校与科技产业之间的产权关系并获得充分的金融保障。高校的科技产业应当在高技术领域选择突破口，进行不断的技术创新，这在我国将有广阔的发展前景。     

论空间环境模拟试验和研究

文章介绍了空间环境模拟技术的发展及空间环境效应的防护,并提出了空间环境研究理念的几个应注意的重要的转变.