一种可伸缩空间机械臂及其应用分析

介绍一种能够完成多关节型空间机械臂所能承担的大部分空间任务 ,而且应用更简便的可伸缩空间机械臂 ,对其空间应用做出了一些设想 ,简单讨论了其应用的一些相关问题 ,肯定了其可行性和实用性。     

减压活门性能试验台系统方案设计

主要介绍了减压活门性能试验台的实现机理、采用的方案。     

飞机燃油油量测量及姿态误差修正方法

提出了一种基于 CAD技术的航空燃油油量实时测量方法。采用三维实体造型技术 ,建立了某飞机机翼油箱模型 ,利用油量传感器的输出值及飞机姿态信息 ,对燃油油量进行实时测量及姿态误差修正。     

减小固体火箭外壳板滚弯直线度误差的研究

如何减小固体火箭外壳板滚弯直线度误差是目前火箭生产工艺中的难题,在对最不利实际工况下三轴辊弯板机中心辊进给量沿自身轴线分布规律作系统的分析、计算及研究的基础上,推导出一项箭壳板滚弯直线度误差不等式,并针对此项不等式各参数变化规律,提出几项减小箭壳板滚弯直线度误差的行之有效的措施,可供火箭外壳设计及生产工艺人员参考。     

新型精密狭缝的设计

介绍了一种基于弹性铰链的精密狭缝的设计，加工工艺要求和性能测试结果。根据实际需要，狭缝可以采用水冷结构。     

平面形状误差分离方法的比较分析

就十种典型的精密平面形状误差测量－分离方法的权函数及其零点，作了分析比较。按形状误差谐波抑制最小准则，论证了五点式正交逐次三点法、九点式正交逐次三点法、复合三点法、不对称二维混合法和不对称四点法优于其他方法，不对称四点法则较为理想。     

Reduced-order multiple model adaptive controller for flexiblespacestructure

The robustness of a moving-bank multiple model adaptive estimator/controller to order reduction in the controller design model is examined. It is shown that the adaptive mechanism and bank-moving logic are not confounded by the effects of unmodeled higher order modes of a large flexible spacestructure. Control characteristics are achieved that are essentially equivalent to those of an artificially informed benchmark controller     

Design for validation

An approach is outlined for the development of ultrareliable avionics for civil air transports using a design-for-validation philosophy that includes rigorous application of formal methods. The basic concept of the methodology is introduced, and the role of formal methods is explored. The impact of the design-for-validation philosophy on the system design process is then demonstrated by two simple examples. More details about the design-for-validation methodology are then given     

SETI education programs in Australia

This paper discusses and evaluates two innovative SETI education programs conducted at the University of Western Sydney, viz: the SETI Pathways Program and the Life in the Universe Curriculum Project.     

Distributed decision fusion using empirical estimation

The problem of optimal data fusion in multiple detection systems is studied in the case where training examples are available, but no a priori information is available about the probability distributions of errors committed by the individual detectors. Earlier solutions to this problem require some knowledge of the error distributions of the detectors, for example, either in a parametric form or in a closed analytical form. Here we show that, given a sufficiently large training sample, an optimal fusion rule can be implemented with an arbitrary level of confidence. We first consider the classical cases of Bayesian rule and Neyman-Pearson test for a system of independent detectors. Then we show a general result that any test function with a suitable Lipschitz property can be implemented with arbitrary precision, based on a training sample whose size is a function of the Lipschitz constant, number of parameters, and empirical measures. The general case subsumes the cases of nonindependent and correlated detectors.