基于强化学习的在轨目标逼近

从强化学习的角度,对在轨目标逼近问题进行研究,设计了一种整合制导与控制的端到端的算法.首先对在轨目标逼近问题进行数学建模;然后对强化学习算法原理进行简介,根据问题特点分析不同强化学习框架的优劣,确定以DDPG作为算法框架,并设计了基于强化学习的在轨目标逼近算法;最后通过仿真验证,分析了基于强化学习逼近算法的优劣性.     

Research on navigation of satellite constellation based on an asynchronous observation model using X-ray pulsar

Pulsar navigation is a promising navigation method for high-altitude orbit space tasks or deep space exploration. At present, an important reason for restricting the development of pulsar navigation is that navigation accuracy is not high due to the slow update of the measurements. In order to improve the accuracy of pulsar navigation, an asynchronous observation model which can improve the update rate of the measurements is proposed on the basis of satellite constellation which has a broad space for development because of its visibility and reliability. The simulation results show that the asynchronous observation model improves the positioning accuracy by 31.48% and velocity accuracy by 24.75% than that of the synchronous observation model. With the new Doppler effects compensation method in the asynchronous observation model proposed in this paper, the positioning accuracy is improved by 32.27%, and the velocity accuracy is improved by 34.07% than that of the traditional method. The simulation results show that without considering the clock error will result in a filtering divergence.     

复杂结构产品虚拟布局与装配集成系统

在原理方法研究的基础上,以飞行器仪器舱为应用背景,进行原型系统的开发,并给出部分运行实例,表明系统原理及其实现技术具有可行性和实用性.     

中小外贸企业经营机制创新分析

经营机制创新是中小型外贸企业摆脱困境的必由之路。针对目前面临的主要问题，从外部环境及企业自身经营机制缺陷方面对中小型外贸企业生存环境进行分析，并从实现经营机制创新角度探讨改善现状的方法，力图找出中小型外贸企业经营机制创新的突破点。     

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。     

湿度换算软件包

湿度不论是在科研领域还是在工业生产中，都是一个很重要的参量指标，在具体的应用中，各领域对湿度参量的使用单位和范围要求是不同的，由此我们编写了一套“湿度换算软件包”，可以在湿度的不同参量和单位间进行换算。本文主要介绍了该软件的主要功能、使用说明以及同国外其它同类软件的数据比对情况。     

对机载武器可靠性试验剖面环境应力的探讨

通过对可靠性试验标准中有关空中发射武器和组合式外挂环境应力问题的分析,探讨了确定机载武器可靠性试验剖面环境应力时应注意的一些问题,并提出了可行的方法。     

基于MATLAB的自动控制系统仿真与分析

本文在给出机器人行走系统的数学模型的基础上,利用MATLAB对控制系统进行仿真,同时详细地分析了控制系统,给出了系统的时域性能指标、开环频率特性及根轨迹,说明了系统设计的有效性.     

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