A progressive approach to predict shot peening process parameters for forming integral panel of Al7050-T7451

In this paper, a progressive approach to predict the multiple shot peening process parameters for complex integral panel is proposed. Firstly, the invariable parameters in the forming process including shot size, mass flow, peening distance and peening angle are determined according to the empirical and machine type. Then, the optimal value of air pressure for the whole shot peening is selected by the experimental data. Finally, the feeding speed for every shot peening path is predicted by regression equation. The integral panel part with thickness from 2 mm to 5 mm and curvature radius from 3200 mm to 16000 mm is taken as a research object, and four experiments are conducted. In order to design specimens for acquiring the forming data, one experiment is conducted to compare the curvature radius of the plate and stringer-structural specimens, which were peened along the middle of the two stringers. The most striking finding of this experiment is that the outer shape error range is below 3.9%, so the plate specimens can be used in predicting feeding speed of the integral panel. The second experiment is performed and results show that when the coverage reaches the limit of 80%, the minimum feeding speed is 50 mm/s. By this feeding speed, the forming curvature radius of the specimens with different thickness from the third experiment is measured and compared with the research object, and the optimal air pressure is 0.15 MPa. Then, the plate specimens with thickness from 2 mm to 5 mm are peened in the fourth experiment, and the measured curvature radius data are used to calculate the feeding speed of different shot peening path by regressive analysis method. The algorithm is validated by forming a test part and the average deviation is 0.496 mm. It is shown that the approach can realize the forming of the integral panel precisely.     

A multi-stage regulation strategy of space manipulators with a free-swinging joint failure

To ensure tasks can be completed after a free-swinging joint failure occurs, a multi-stage regulation strategy of space manipulators is proposed. Considering all terms of the dynamics equation, an evaluation model of the regulation ability (EMRA) of active joints over the fault joint is established based on the fuzzy entropy. And then a multi-stage regulation strategy based on the EMRA is designed to regulate the fault joint. The strategy divides the regulation process into several stages, and select a certain active joint to regulative the fault joint in every stage. With this multi-stage regulation strategy, the fault joint can be regulated to the desired angle without huge torque on regulative joints. The simulation is carried out with a 7-DOF space manipulator, verifying the correctness and effectiveness of the multi-stage regulation strategy. The strategy has three advantages: Coriolis and centrifugal terms are both considered for the first time in selecting the regulative joint, making the selection result more in line with the actual regulation process; The influence of the model uncertainty is eliminated in establishing the EMRA, making the evaluation of regulative ability more precise; The fault joint is successfully regulated to the desired angle without huge torque on regulative joints.     

基于高频导纳原理的液位传感器

介绍一种新型液位传感器。分析传统电容液位传感器在实用中的局限性,提出一种防挂料原理,变传统的单纯测量探头电容变化为测量在液位变化下探头的复阻抗的变化,并利用同步整流技术,抵消导电介质挂料造成的虚假信号。设计上,通过合理选取有关参数,避免了信号变换器和探头分置时分布电容的影响,使传感器可以用在高温介质测量场合。     

空袭目标威胁评估模型研究

以航路捷径、目标类型、机动特性、到达发射区近界的剩余时间，以及电子干扰为主要影响因素，结合多通道防空武器系统的特点，建立了基于层次分析法和模糊综合决策法的空袭目标威胁评估模型。用层次分析法确定各因素权重，以分段函数的形式给出权重系数。针对一给定的中程防空武器系统，用模糊统计计算各影响因素的隶属函数，并给出了模型的计算流程。仿真结果表明，所设计的模型能较准确地评估来袭目标的危险性，且具有较高的灵敏度。     

导弹电液伺服机构的模糊滑模变结构跟踪控制研究

为减小导弹电液伺服机构滑模变结构跟踪控制中的抖振,研究了一种模糊滑模变结构控制(FS-MVSC)方法。给出了模糊滑模控制器的构成,以及模糊化、模糊规则与推理、反模糊化处理的方法。在保持系统对参数变化和外干扰不确定强鲁棒性的同时,可使系统具有较优的动态响应和稳态控制精度。仿真结果表明,该控制方案有效。     

智能天线结构模糊自适应变形控制实验研究

基于dSPACE半物理仿真系统和所研制的压电作动器,设计并构建了智能天线结构实验平台,进行了结构变形控制实验研究。实验中采用常规PID作为基本控制方法,并在此基础上设计了一种模糊自适应PID控制器,将两种方法对应的不同控制效果进行了对比。结果表明:在所给的实验条件下,基于压电材料可实现对智能天线结构变形的控制,作动器控制变形量最大可达166μm;两种控制方法均可对结构变形进行控制,模糊自适应方法的绝对位置控制精度达到±0.5μm;应用模糊自适应PID控制方法对结构进行变形控制,较之常规PID控制方法能够降低系统响应的超调量,缩短稳定时间,提高控制精度,得到更好的控制过程。     

控制系统故障诊断的模糊神经网络方法研究

控制系统的不确定故障诊断是目前尚未解决的问题。传统的神经网络方法和模糊推理方法为解决这一类故障诊断问题提出了一些算法。然而上述两种方法难以提高不确定故障诊断的性能。为此本文结合模糊理论的推理能力和神经网络学习的能力提出模糊神经网络故障检测方法。该算法同时具备模糊理论的处理不确定和不准确信息的能力和神经网络的自学习能力。本文结果应用到某运载火箭控制系统的故障诊断,仿真结果表明,本算法有效,较好地解决了控制系统不确定故障诊断问题。     

固体火箭冲压发动机地面试验装置及测控系统

介绍了固体火箭冲压发动机地面实验装置及测控系统组成，功能、技术指标和可以开展的研究工作。     

自适应控制方法的直接命中目标本体的平行接近制导律

本文在最少量测条件下采用视线角速度ｑ趋于零的指标函数和低阶等效辨识模型与快速自适应控制方法实现了战术导弹的平行接近制导律。这种最优制导律可以实现直接命中目标本体，实现一弹多用，可以用于反导弹的控制。能使制导装置简化并使其尺寸和重量减小，算法简单易于工程使用。经过大量数学和半实物仿真试验表明，上述成果可应用于实际工程当中。     

液体推进剂泄漏应急处理

提出液体推进剂泄漏事故的应急处理措施，包括人员疏散、隔离区划分、受伤和中毒人员救治，抢救人员个人安全防护以及其他控制险情的方法。