高准确度转台中动态测角方法的研究

设计了一套用于高准确度转台中动态测角的方案。该方案在输出角位置的同时,在其模拟信号被采样时刻和数据传输结束时刻发出标示信号,从而准确标定每一个角位置产生的时间点与位置值的对应关系,达到对被测试惯性产品动态校准的目的。同时,提出了一种可以进行自校准的设计方法。     

航天飞行器相对运动动力学及其控制方法

采用本地轨道从标系对两邻飞船间相对运动动力学展开研究，指出在相对运动中也存在平衡状态，用相平面方法分析了其稳定性，基于此分析，综合出相对运动控制方法，即距离速率控制方法，受控运动轨迹是一条稳定的稳态直线，进而建立了全方位距离速率控制方法。最后以系绳卫星系统和飞船安全为例完成了计算机模拟。     

复合材料自动铺带技术研究(Ⅲ)——平面铺带CAD/CAM软件开发

根据所研制自动铺带样机的工作模式和结构特征，详细讨论了铺放平面凸多边形构件的自动铺放加工指令模型和算法，包括轨迹坐标生成与边界处理、考虑预切的切送带指令等。在Auto CAD平台上利用Object ARX技术开发了相应CAD／CAM软件，具有自动指令生成、交互设计和图形仿真等功能；经实际铺放检验，该软件能够满足平面自动铺带的基本要求。     

Adaptive Sliding Control of Six-DOF Flight Simulator Motion Platform

本文使用Newton-Euler法推导了六自由度飞行模拟器运动平台完整的线性化形式的动力学方程,并以此为基础,提出了一种在任务空间中的非线性自适应滑模控制方法。这种控制方法将系统中的不确定性分为定常不确定参数和时变不确定参数,利用非线性自适应控制对定常不确定参数进行辨识,同时结合滑模控制对时变不确定参数和外部扰动进行补偿。通过数值仿真分析表明,该控制策略能准确识别运动平台的载荷、惯量、重心等参数,同时又能有效地提高系统的鲁棒性能。     

Best practices for model-based and simulation-aided engineering of power transmission and motion control systems

This paper deals with the modelling and simulation of aircraft systems, in particular for power transmission and control. It is intended to review, propose and disseminate best practices for making model-based/simulation-aided engineering more efficient at any phase of the system life cycle. The proposals are aimed at creating value, not only by increasing the performance of the product under study but also by shortening the time to market, capitalizing knowledge, mitigating risks and facilitating concurrent engineering. The needs associated with the engineering activities are firstly identified to define a set of requirements for the models. Then, these requirements are used to drive the considerations leading to model development, focusing in particular on the process, modelled physical effects, modelling level, model architecting and concurrent engineering. The third part deals with the model implementation, giving special consideration to the different types of models, causalities, parameterization, implementation and verification. Each part is illustrated by examples related to safety critical actuators.     

Motion prediction of an uncontrolled space target

Capturing an uncontrolled space target is a tremendously challenging research topic. Target capture by a space robot can be well planned according to predicted motion of the target. In this paper, motion prediction of an uncontrolled space target is studied and a motion prediction algorithm is proposed. In the proposed algorithm, firstly a method for identifying the parameters of motion state and inertial property of the target is established; and then through substituting the identified parameters into the dynamic equations of the target, the motion of the target can be predicted as the solution of the equations. In the identification of the parameters, the unscented Kalman filter (UKF) is applied. In order to support the UKF, a method for estimating noise level of the observation data is developed, so our motion prediction algorithm is noise adaptive. A practical convergent criterion is also designed to determine the time when the estimated result of the UKF is accurate enough, such that the predicted motion is credible enough. After that, the accuracy of the prediction is further improved by an optimization method. In the end of this paper, numerical simulations are done to verify the validity of the proposed motion prediction algorithm. Simulation results indicate that the proposed algorithm is able to predict the motion of the target precisely.     

输入指令整形技术在飞行仿真转台中的应用

将广泛应用于机器人手臂控制等其它柔性控制系统的输入指令整形减振技术移植到转台应用中, 对这种技术的减振原理进行了详细的介绍, 并对输入指令整形器的设计方法、对系统参数变化的鲁棒性进行了探讨, 最后以M254 -90A电动三轴飞行仿真转台的中框为对象进行了仿真, 仿真结果表明, 输入指令整形器以前馈的形式作用于飞行仿真转台的控制系统时, 既不影响系统的稳定性, 又可以很好地抑制飞行仿真转台的机械谐振     

Homotopy based optimal configuration space reduction for anytime robotic motion planning

Anytime sampling-based motion planning algorithms are widely used in practical applications due to limited real-time computing resources. The algorithm quickly finds feasible paths and incrementally improves them to the optimal ones. However, anytime sampling-based algorithms bring a paradox in convergence speed since finding a better path helps prune useless candidates but also introduces unrecognized useless candidates by sampling. Based on the words of homotopy classes, we propose a Homotopy class Informed Preprocessor (HIP) to break the paradox by providing extra information. By comparing the words of path candidates, HIP can reveal wasteful edges of the sampling-based graph before finding a better path. The experimental results obtained in many test scenarios show that HIP improves the convergence speed of anytime sampling-based algorithms.     

航天员转体技术仿真

航天员在自由状态下的转体技术是航天员训练和太空任务完成好坏的重要指标。本文借助１５段的人体模型,使用多刚体动力学的方法建立起航天员转体动作的力学模型。该模型易于编程,适合于实时计算。并使用计算机动画技术,建立了航天员转体运动的实时动态仿真系统。该系统只要求输入基本的人体测量数据和肢体的相对运动规律,以图形动画形式输出,具有良好的交互性。     

序列图像编码中的遗传优化块匹配算法

讨论了序列图像编码的运动估值算法。在剖析传统块匹配算法的基础上,针对其非全局最佳的缺陷,将遗传优化算法的思想应用于分层块匹配算法,提出一种遗传优化块匹配算法。算法分析和计算机模拟表明,此算法可较好地解决现有快速搜索算法中存在的非全局最小点问题,提高数据压缩效率,与穷尽搜索算法相比运算复杂程度明显减小。