基座与臂杆全弹性空间机器人的有限时间控制

探讨了基座、臂杆全弹性影响下,基于有限时间的漂浮基空间机器人系统轨迹跟踪以及柔性抑振问题.由于弹性基座与两柔性杆之间存在多重动力学耦合关系,此系统为高度非线性系统.将弹性基座与臂杆间的连接视为线性弹簧,利用拉格朗日第二类方程并结合假设模态法,推导出该系统的动力学模型;应用奇异摄动理论的两种时间尺度假设,将系统分解为表示刚性运动的慢变子系统和表示基座弹性、双柔杆振动的快变子系统.针对慢变子系统,设计了一种基于名义模型的有限时间控制器,保证完成刚性期望轨迹跟踪.设计的积分式滑模面具有有限时间收敛特性,比传统渐近收敛控制方法具有更快的收敛速度和更强的鲁棒性;对于快变子系统,采用线性二次型最优控制同时抑制弹性基座与两柔性杆的振动.Lyapunov理论证明了所提控制算法能使跟踪误差在有限时间内收敛到原点.仿真验证了控制方法的有效性.     

全柔性空间机器人基于虚拟力的输出反馈有限维重复学习控制及振动抑制

探讨了基座、关节、臂均存在柔性情况下,空间机器人关节轨迹运动及多重柔性振动的主动控制和主动抑制问题.结合线性弹簧、扭转弹簧、简支梁及假设模态法,利用拉格朗日方程建立了基座、关节、臂全柔性影响下的空间机器人系统动力学模型,利用奇异摄动法,将模型分解为关节运动慢变子系统与关节柔性振动快变子系统.为控制慢变子系统中载体姿态、关节刚性运动并且抑制臂的柔性振动,依据虚拟控制力的概念,设计了基于有限维傅里叶级数解析周期信号的输出反馈重复学习算法.李雅普诺夫直接法证实了上述控制器的稳定性.为了抑制快变子系统中基座和关节的柔性振动,分别采用线性二次最优控制方法以及引入关节柔性补偿器间接增大关节等效刚度的方式,使控制算法不局限于求解弱非线性问题.系统数值仿真结果表明,所提出的控制器能够有效抑制机器人多重柔性构件的振动,实现对期望信号的高品质追踪.     

一种蜗轮圆周均匀注油工艺

通过对雨刮电机蜗轮注油工艺的研究,研制了一种蜗轮沿圆周均匀注油工艺,对蜗轮的每个齿槽都均匀地注上油脂,保证了蜗轮蜗杆啮合时的润滑,解决了蜗轮在啮合过程中出现剔齿、塑性变形等问题,提高了产品的使用性能。同时,相关行业可以借鉴该注油工艺和推广。     

白刚玉对微烟推进剂燃烧性能的影响

微烟推进剂不能含有铝粉,故必须加入其他燃烧稳定剂来抑制不稳定燃烧。本文提出了燃烧稳定剂选择的关键性指标——粒度及粒度分布的可控性,认为磨料微粉白刚玉(Al_2O_3)是微烟推进剂比较合适的燃烧稳定剂新品种,进而研究了白刚玉粒度、含量对推进剂燃速、压强指数和燃烧稳定性影响的规律性,探讨了燃烧前后白刚玉粒度变化的趋势,并由实测火焰结构证实,该推进剂与双基推进剂火焰结构相似,从而为该类推进剂选择催化剂提供了理论依据.     

浇铸火箭发动机推进剂固化升温时间估算

对浇注火箭固体推进剂,药浆固化升温是一个不稳定的传热过程。发动机尺寸愈大,固化升温时间愈长。本文用有限差分法计算传热时间,根据实验获得药浆固化时的热性质参数和温度之间的函数关系;并计算得到发动机尺寸、升温时间与温度变化的关系。     

铅化合物在双基推进剂燃烧过程的作用机理

本文提出了铅化合物催化双基推进剂燃烧的反应历程。充分说明这类化合物是最终通过提高燃烧表面处嘶嘶区温度梯度提高燃速的。本文还提出了“铅化合物有通过增加燃烧表面上碳质物量增加燃速的一面,还有通过减少碳质物抑制燃速增加的一面”这一新的论点及抑制碳质物增加的反应并阐明了压力对这种抑制能力的影响。最后根据本文提出的作用机理及传热原理圆满解释了超速、平平和/或麦撒效应。     

火箭导弹工程图管理系统

提出对火箭导弹的工程图纸，照片等进行管理的方法，并进行了软件实现。     

DATH在CMDB推进剂中应用研究

对ＤＡＴＨ在复合改性双基推进剂中应用及配装浇 出工艺制ＤＡＴＨ－ＣＭＤＢ推进剂药柱过程中出现的较强固化放气问题做了探讨，得出了若干结论。     

Real-time fault detection method based on belief rule base for aircraft navigation system

Real-time and accurate fault detection is essential to enhance the aircraft navigation system’s reliability and safety. The existent detection methods based on analytical model draws back at simultaneously detecting gradual and sudden faults. On account of this reason, we propose an online detection solution based on non-analytical model. In this article, the navigation system fault detection model is established based on belief rule base (BRB), where the system measuring residual and its changing rate are used as the inputs of BRB model and the fault detection function as the output. To overcome the drawbacks of current parameter optimization algorithms for BRB and achieve online update, a parameter recursive estimation algorithm is presented for online BRB detection model based on expectation maximization (EM) algorithm. Furthermore, the proposed method is verified by navigation experiment. Experimental results show that the proposed method is able to effectively realize online parameter evaluation in navigation system fault detection model. The output of the detection model can track the fault state very well, and the faults can be diagnosed in real time and accurately. In addition, the detection ability, especially in the probability of false detection, is superior to offline optimization method, and thus the system reliability has great improvement.     

Low-cost solutions for Martian base

Technical and architectural problems of a Martian base have been arised in many publications. Usually there is one solution described in detail or general classification is presented. In this paper, a recognition of low-cost solutions for Martian architecture is analyzed. The overview through various building techniques based on previous concepts of extraterrestrial architecture is summarized. Several solutions taking advantages of the shape of terrain, aiming for cost decreasing of human settlement on Mars are proposed.