Observer-type Kalman innovation filter for uncertain linear systems

An observer-type of Kalman innovation filtering algorithm to find a practically implementable "best" Kalman filter, and such an algorithm based on the evolutionary programming (EP) optima-search technique, are proposed, for linear discrete-time systems with time-invariant unknown-but-hounded plant and noise uncertainties. The worst-case parameter set from the stochastic uncertain system represented by the interval form with respect to the implemented "best" filter is also found in this work for demonstrating the effectiveness of the proposed filtering scheme. The new EP-based algorithm utilizes the global optima-searching capability of EP to find the optimal Kalman filter and state estimates at every iteration, which include both the best possible worst case Interval and the optimal nominal trajectory of the Kalman filtering estimates of the system state vectors. Simulation results are included to show that the new algorithm yields more accurate estimates and is less conservative as compared with other related robust filtering schemes     

Ion Acoustic Waves in the Heliosphere

Observations of ion acoustic waves in the solar wind during the first and second orbit of the Ulysses spacecraft are presented. The observations show variations of the wave activity with the heliolatitude and with the phase of the solar cycle. The interrelationships between the wave intensity and the electron heat flux and the ratio of electron to proton temperature, T _e/T _p, are examined. This revised version was published online in August 2006 with corrections to the Cover Date.     

Martian jumping rover equipped with electroactive polymer actuators: A preliminary study

This paper presents results of a preliminary study of feasibility for the application of electroactive polymer (EAP) based actuators to a robotic locomotion system, intended by the European Space Agency (ESA) to operate on the surface of Mars. The system is conceived as an elastic spherical rover, exploiting wind propulsion for surface motion, while adopting an active mechanism for vertical jumping over obstacles. The use of polymeric electromechanical devices is envisaged in order to provide actuation to such a jumping mechanism. Among the available EAP technologies, new contractile linear actuators based on dielectric elastomers arc proposed in this study as suitable devices and two potential solutions concerning their use are designed, modeled, and evaluated via numerical simulations. The best solution reveals interesting simulated performances, enabling jumping of obstacle heights corresponding to more than 7% of the diameter of the rover     

The Grain Impact Analyser and Dust Accumulator (GIADA) Experiment for the Rosetta Mission: Design, Performances and First Results

The Grain Impact Analyser and Dust Accumulator (GIADA) onboard the ROSETTA mission to comet 67P/Churyumov–Gerasimenko is devoted to study the cometary dust environment. Thanks to the rendezvous configuration of the mission, GIADA will be plunged in the dust environment of the coma and will be able to explore dust flux evolution and grain dynamic properties with position and time. This will represent a unique opportunity to perform measurements on key parameters that no ground-based observation or fly-by mission is able to obtain and that no tail or coma model elaborated so far has been able to properly simulate. The coma and nucleus properties shall be, then, clarified with consequent improvement of models describing inner and outer coma evolution, but also of models about nucleus emission during different phases of its evolution. GIADA shall be capable to measure mass/size of single particles larger than about 15 μm together with momentum in the range 6.5 × 10⁻¹⁰ ÷ 4.0 × 10⁻⁴ kg m s⁻¹ for velocities up to about 300 m s⁻¹. For micron/submicron particles the cumulative mass shall be detected with sensitivity 10⁻¹⁰ g. These performances are suitable to provide a statistically relevant set of data about dust physical and dynamic properties in the dust environment expected for the target comet 67P/Churyumov–Gerasimenko. Pre-flight measurements and post-launch checkouts demonstrate that GIADA is behaving as expected according to the design specifications. The International GIADA Consortium (I, E, UK, F, D, USA).     

Problems of application of face gasodynamic seals in aircraft engines

Problems arising in introduction of gasodynamic seals in aircraft engines are considered. The operation of a face gasodynamic seal as part of a natural gas pump is analyzed and its efficiency in the presence of oil is shown.     

基于磨粒分析方法的发动机磨损故障智能诊断技术

磨粒是研究磨损状态时最直接、最重要的信息元，通过对滑油中的磨粒进行监测与分析来判断机械设备的磨损情况，可以预防并监测机械设备的磨损故障。本文运用显微形态学方法建立了一套磨粒显微特征描述体系，以提取磨粒信息并进行磨损故障的模式识别；并结合摩擦学理论和人工智能方法，实现对发动机磨损故障的智能诊断和预测。     

含连续／离散变量结构优化中的神经网络与变尺度模拟退火方法

传统的优化方法难于有效地处理含有连续／离散混合变量优化问题，本文介绍了一种改进的变尺度模拟退火方法并与人工神经网络能量函数模型相结合，用于求解含连续／离散设计变量的工程结构优化问题，较好地解决了模拟退火技术用于工程结构优化时选取具有全局性的初始点困难及迭代次数较多的弱点。算例表明，该方法可以使模拟退火算法从局部最优的陷阱中跳出，最后求出整体最优解。     

一种新的射频仿真目标位置控制方法与软件研究

针对射频目标仿真系统中目标位置的控制，本文通过对国内外目标位置控制的常用方法进行研究，提出一种新的通用目标位置控制方法，该方法适用于任何天线分布的面阵。利用这种新的方法编写了基于三元阵天线阵面的射频仿真目标位置控制软件，实现对多目标在天线阵面上多种轨迹运动下的高速准确的定位，并能实时监视目标的运动状态和运动轨迹。     

惩罚函数法在发动机性能计算中的应用

按照涡喷发动机工作时遵守的气动热力学定律，建立了发动机的稳定数学模型，并针对双轴涡轮发动机性能计算的非线性数学模型，利用优化和最优控制理论中的惩罚函数法，对发动机性能进行了基于约束的最优求解程序设计，利用程序对某型发动机的稳定飞行特性进行了计算，计算结果表明，使用惩罚函数法求出的特性曲线变化规律正确，发动机平衡方程的解的精度更高，在此基础上得出的发动机飞行特性也更准确。另外惩罚函数法对初值的要求很低，迭代运算不易发散。     

SoftBase查询优化器的设计与实现

查询优化是数据库系统中一个必不可少的模块，本文在当前查询优化技术发展的基础上讨论了SoftBase数据库的查询优化器的设计和实现，给出了SAoftBase数据库查询优化处理的一般过程，并着重探讨了查询优化的两个主要模块，查询重写和基于代价评估的计划优化。在计划优化模块中，详细讨论了存取路径的选择和代价评估的计算方法，最后对测试结果进行了分析，结果表明优化后的SoftBase查询效率比原系统有了明显的提高。