Data fusion control and guidance of surface-to-air missile under the complex circumstance based on neural-net technology

Under the complicated electromagnetism circumstance, the model of data fusion control and guidance of surface-to-air missile weapon systems is established. Such ways and theories as Elman-NN, radar tracking and filter＇s data fusion net based on the group method for data-processing （GMRDF） are applied to constructing the model of data fusion. The highly reliable state estimation of the tracking targets and the improvement in accuracy of control and guidance are obtained. The purpose is optimization design of data fusion control and guidance of surface-to-air missile weapon systems and improving the fighting effectiveness of surface-to-air missile weapon systems.

Primary exploration of nonlinear information fusion control theory

By introducing Information fusion techniques into a control field, a new theory of information fusion control （IFC） is proposed. Based on the theory of information fusion estimation, optimal control of nonlinear discrete control system is investi- gated. All information on control strategy, including ideal control strategy, expected object trajectory and dynamics of system, are regarded as measuring information of control strategy. Therefore, the problem of optimal control is transferred into the one of information fusion estimation. Firstly, the nonlinear information fusion estimation theorems are described. Secondly, an algorithm of nonlinear IFC theory is detailedly deduced. Finally, the simulation results of manipulator shift control are given, which show the feasibility and effectiveness of the presented algorithm.

SPOT WELDING QUALITY FUZZY CONTROL SYSTEM BASED ON MULTISENSOR INFORMATION FUSION

The multisensor information fusion technology is adopted for real time measuring the four parameters which are connected closely with the weld nugget size（welding current, electrode displacement, dynamic resistance, welding time）, thus much more original information is obtained. In this way, the difficulty caused by measuring indirectly weld nugget size can be decreased in spot welding quality control, and the stability of spot welding quality can be improved. According to this method, two-dimensional fuzzy controllers are designed with the information fusion result as input and the thyristor control signal as output. The spot welding experimental results indicate that the spot welding quality intelligent control method based on multiscnsor information fusion technology can compensate the influence caused by variable factors in welding process and ensure the stability of welding quality.

MHD Stability Analysis and Flow Controls of Liquid Metal Free Surface Film Flows as Fusion Reactor PFCs

Numerical and experimental investigation results on the magnetohydrodynamics（MHD） film flows along flat and curved bottom surfaces are summarized in this study. A simplified modeling has been developed to study the liquid metal MHD film state, which has been validated by the existing experimental results. Numerical results on how the inlet velocity（V）, the chute width（W） and the inlet film thickness（d0） affect the MHD film flow state are obtained. MHD stability analysis results are also provided in this study. The results show that strong magnetic fields make the stable V decrease several times compared to the case with no magnetic field,especially small radial magnetic fields（Bn） will have a significant impact on the MHD film flow state. Based on the above numerical and MHD stability analysis results flow control methods are proposed for flat and curved MHD film flows. For curved film flow we firstly proposed a new multi-layers MHD film flow system with a solid metal mesh to get the stable MHD film flows along the curved bottom surface. Experiments on flat and curved MHD film flows are also carried out and some firstly observed results are achieved.

Controlling Fusion of Majorana Fermions in One-Dimensional Systems by Zeeman Field

We propose the realization of Majorana fermions （MFs） on the edges of a two-dimensional topological insulator in the proximity with s-wave superconductors and in the presence of transverse exchange field h. It is shown that there appear a pair of MFs localized at two junctions and that a reverse in the direction of h can lead to permutation of two MFs. With decreasing h, the MF states can either be fused or form one Dirac fermion on the π-junctions, exhibiting a topological phase transition. This characteristic can be used to detect physical states of MFs when they are transformed into Dirac fermions MFs is also given. localized on the π-junction. A condition of decoupling two

Research in Control Systems, Sensor Fusion, and Haptic Interfaces

Research in control systems, sensor fusion and haptic interfaces is reviewed.

A Way to Realize Controlled Nuclear Fusion by γ-Laser or γ-Ray

A way is proposed to realize controllable-nuclear fusion by γ-laser or γ-ray and ordinary laser with their certain frequencies and large enough intensities to irradiate a target ball. The function of ordinary laser is to heat the target nuclei and to realize the inertial confinement for the target nuclei. The target nuclei absorbing γ-photons will be in a certain excited state. The scattering cross-sections will be larger and the ignition temperature will be lower to realize fusion of the nuclei in their excited states than those of the nuclei in their ground states. In contrast with the nuclei applied in conventional fusion, e.g., deutons and tritons, according to the way, the nuclei applied to fusion should have the following characters: the nuclei have their excited states, one of the excited states has higher energy and longer lifetime, and the masses of the nuclei are lesser. Thus, the Lawson conditions can more easily be realized so that the controllable nuclear fusion is possibly realized by the way.

Multi-rate sensor fusion-based adaptive discrete finite-time synergetic control for flexible-joint mechanical systems

This paper proposes an adaptive discrete finite-time synergetic control （ADFTSC） scheme based on a multi-rate sensor fusion estimator for flexible-joint mechanical systems in the presence of unmeasured states and dynamic uncertainties. Multi-rate sensors are employed to observe the system states which cannot be directly obtained by encoders due to the existence of joint flexibilities. By using an extended Kalman filter （EKF）, the finite-time synergetic controller is designed based on a sensor fusion estimator which estimates states and parameters of the mechanical system with multi-rate measurements. The proposed controller can guarantee the finite-time convergence of tracking errors by the theoretical derivation. Simulation and experimental studies are included to validate the effectiveness of the proposed approach.

A Robust Interacting Multisensor State Fusion Based on Adaptive Outlier Controlling Multirate Model

An adaptive outlier controlling multirate model based on Hong’s multirate kinetic model was represented in order to resist the outliers and utilize their useful information. Wavelet transform was introduced to detect and control the outliers. The multirate information extraction and the controlling of outliers were properly integrated to establish an adaptive outlier controlling multirate model. The proposed model was applied to multisensor state fusion with interacting multiple model (IMM), and a robust interacting multisensor state fusion algorithm was established based on adaptive outlier controlling multirate model. The Monte-Carlo simulation shows that it could improve the accuracy of fusion estimation by 70% compared to Hong’s algorithm and at least 14% to Xiao’s algorithm.

基于模糊理论的输电网络电压无功控制策略

为解决新能源、电动汽车、储能等新技术应用下,高复杂度电力系统电压稳定控制问题,提出了一种基于模糊理论的输电网络电压无功控制策略。该方法引入模糊理论中的隶属度函数,根据系统节点与不同分区之间的耦合程度制定无功控制策略。根据灵敏度计算网络各个节点之间的电气距离,通过模糊聚类算法对节点进行初步分区,并采用聚类融合算法对聚类产生的多个结果进行融合,从而得到最终分区结果。根据关键节点对各个分区的隶属度制定主辅控制策略。IEEE30节点输电网络的算例分析表明,该控制策略可以有效实现对无功功率的控制。

图书馆智慧管理平台书目数据融合若干问题分析——以河海大学图书馆为例

文章通过分析河海大学图书馆智慧管理平台下的书目数据融合项目的实践,总结了数据库中书目数据存在的问题及原因,从编目人员、编目外包公司、图书馆自身3个维度提出优化策略,以提升图书馆的编目业务的质量,促进图书馆编目事业稳定健康的发展。

Controlled Fusion Strategy Using Ultra-Intense Laser Derived Positron Generation for Initiation

A controllable strategy for eliciting nuclear fusion is presented through ultra-intenselaser derived positron generation by a conceptual first physics perspective. The capability to generate positrons on demand in a controlled manner through an ultra-intense laser incident on a high atomic number target, such as gold, is the intrinsic core to the foundation of controllable nuclear fusion. Positron antimatter generated from the periphery of the fusion fuel pellet provides the basis for initiating the fusion reaction, which is regulated by controlling the operation of the ultra-intense laser. A dual pulsed Fast Ignition mechanism is selected to achieve the fusion reaction. Based on first physics performance analysis the controllable strategy for eliciting nuclear fusion through ultra-intenselaser derived positron generation offers a realizable means for achieving regulated nuclear fusion. A future perspective of the controllable fusion strategy addresses the opportunities and concerns of a pathway toward regulated nuclear fusion.

混合动力汽车转向稳定性多传感器融合控制技术

为了满足汽车行驶稳定性要求,当前依托于单一传感信息进行转向控制,容易忽略很多影响因素,使得控制后汽车转向质心侧偏角依旧较大。因此,混合动力汽车提出转向稳定性多传感器融合控制技术。考虑混合动力汽车转向过程中的动态特性,构建转向动力学模型,并计算出车辆理想横摆角速度。深入分析横摆角速度、滑移率对车辆转向稳定性的影响,得出期望的横摆力矩和滑移率调整力矩。将汽车转向稳定性控制问题看作二次规划问题,结合BP神经网络和常规PID控制器,设计转向稳定性控制算法,利用车辆转向参数的理想值、实际值和偏差值推算出稳定性控制参数。结合融合多传感器实时采集信息,推算出汽车转向姿态误差代入控制结构中,给出优化后的控制参数。实验结果表明:新提出的控制技术应用后,车辆转向的质心侧偏角不超过±0.012 rad/s,满足了混合动力汽车转向行驶要求。

基于前馈神经网络井控多属性融合的断裂识别方法

塔里木盆地碳酸盐岩断控缝洞型油气藏埋藏深度大、构造复杂,且断裂高度发育,断裂是研究区域内成藏主控因素及可能的油气运移通道,对其空间展布位置及发育强弱的预测至关重要。断裂检测属性众多,不同断裂检测属性由于计算方法不同表征的断裂尺度及特征存在一定的差异性,且常规属性检测忽视了测井信息的利用与约束,为了获取更加全面、准确的断裂预测结果,本文优选多类断裂检测属性,并结合测井数据作为先验信息,利用前馈神经网络算法进行属性融合。首先优选AFE、likelihood、倾角等多类具有不同特征的断裂属性,结合测井放空漏失数据、成像测井信息及地震同相轴错段情况作为断裂发育类型判别条件建立了断裂特征识别样本库;在样本库基础上进行深度前馈神经网络训练,对比测试了不同隐含层深度条件下的学习效果,获取预测误差最小的神经网络预测模型;最后将神经网络预测模型应用于全工区断裂预测。经对比分析,认为深度学习融合属性预测断裂与测井解释结果更为吻合,且能综合不同尺度特征的断裂信息,有效提升了预测准确度和可靠性。

基于感知融合的隧道车道控制系统设计

文章提出一种基于感知融合的隧道车道控制系统,并详细讨论了系统的设计方法。首先,设计了自适应控制系统框架,并分析了每个模块的功能。其次,详细讨论了隧道车道控制系统设计的关键技术。最后,研究了基于感知融合的车道控制方法。

运动调控线粒体动力学变化的研究进展

背景:线粒体质量控制是一个复杂的过程,该过程涉及到线粒体生物发生、线粒体动力学变化、线粒体自噬三个方面,其中线粒体动力学变化是线粒体生物发生和线粒体自噬的中间环节,线粒体通过动力学变化改善自身质量控制,进而维持线粒体稳定状态。目的:探究运动影响线粒体动力学变化的分子机制,为运动改善线粒体网络稳态,进而促进功能健康提供理论依据。方法:利用文献资料法,以“运动,线粒体稳态,线粒体质量控制,线粒体动力学,线粒体融合,线粒体分裂”等为中文关键词检索中国知网(CNKI),百链云图书馆等中文数据库;以“Exercise,Mitochondrial homeostasis,Mitochondrial quality control,Mitochondrial dynamics,Mitochondrial fusion,Mitochondrial fission”等为英文关键词检索PubMed、Web of Science、EBCSO等英文数据库,对最终获取的文献进行筛选、阅读、归纳和总结。结果与结论:线粒体动力相关蛋白1/2(Drp1/2)负责线粒体分裂过程,线粒体融合蛋白1/2(Mfn1/2)以及视神经萎缩1(Opa1)分别介导线粒体外膜和内膜的融合。运动训练可以通过上调Mfn1/2和Opa1的蛋白表达,同时下调Drp1蛋白表达水平,促进线粒体融合过程,并抑制线粒体分裂来改善线粒体功能状态;一次急性运动影响线粒体动力学变化的研究结论存在争议;另外,运动介导线粒体动力学变化存在组织差异性。

基于人工智能技术的机器人运动控制系统设计

设计一种基于人工智能技术的机器人运动控制系统,确保机器人更好地理解人类的意图,并提供更加人性化的服务。该系统通过运动数据采集与传输组件连接机器人的轴电机,采集机器人当前运动数据后,将其传输到控制器组件内,控制器组件依托X86架构工控机,使用PIC总线将采集到的机器人当前运动数据发送到基于人工智能技术的机器人运动路径规划模块内。该模块运用人工智能技术中的A*算法获取机器人轨迹路径规划结果后,依据该路径规划结果,将人工智能技术中的神经网络和模糊B样条基函数相结合,建立模糊B样条基函数神经网络控制器。该控制器输出机器人运动控制指令,并发送给伺服驱动器组件,伺服驱动器负责驱动机器人轴电机,控制机器人运动。实验结果表明:所设计系统具备较强的机器人路径规划能力,可在复杂路径情况下实现机器人运动控制,且控制精度和控制阶跃响应能力均较强。

多源数据融合的深埋隧道岩爆预测方法

为提高隧道设计阶段未开挖区域的岩爆预测准确性,提出了一种多源数据融合的隧道岩爆预测方法.综合隧道勘察和施工阶段的不同地质信息,采用基于证据关联系数的加权融合技术,构建了隧道精细化三维动态地质模型.建立了基于强度理论的岩爆可能性判定方法和基于能量理论的岩爆烈度预测方法,通过Hoek-Brown强度准则判断围岩是否发生岩爆,利用储能极限阈值和能量释放指数划分岩爆烈度,并将其应用于四川某隧道工程中.结果表明,所提方法可以实现隧道掌子面前方30 m范围内的岩爆精准预测,预测结果与隧道开挖实际岩爆的吻合率为95.8%.因此,该预测方法能够在隧道施工前预判岩爆烈度,为隧道岩爆防治提供指导.

基于遥感GIS信息融合的测绘机器人滑模跟踪控制系统

测绘机器人是实现测绘自动化的执行设备,测绘机器人的工作空间更为复杂,给机器人的跟踪控制工作带来较大挑战;为提高测绘机器人跟踪控制效果,设计了基于遥感GIS信息融合的测绘机器人滑模跟踪控制系统;加设遥感信息采集器和GIS信息采集器,改装遥感GIS信息处理器以及滑模跟踪控制器,完成硬件系统的优化设计;考虑信息结构以及信息之间的逻辑关系,构建系统数据库,为遥感GIS信息提供充足的存储空间;根据测绘任务生成机器人滑模移动轨迹,作为机器人的控制目标;采集测绘机器人实时遥感与GIS信息,利用遥感GIS信息融合技术跟踪机器人实时位姿,比对位姿跟踪结果与生成的控制目标,计算滑模跟踪控制量,完成系统的测绘机器人滑模跟踪控制软件功能优化;系统测试结果表明:设计系统的控制误差平均值为1.9 m,抖振幅值为0.8 dB,具有较好的控制效果。

Study on the Driving Style Adaptive Vehicle Longitudinal Control Strategy

This paper presents a fusion control strategy of adaptive cruise control(ACC) and collision avoidance(CA),which takes into account a driver’s behavioral style. First, a questionnaire survey was performed to identify driver type, and the corresponding driving behavioral data were collected via driving simulator experiments, which served as the template data for the online identification of driver type. Then, the driveradaptive ACC/CA fusion control strategy was designed, and its effect was verified by virtual experiments. The results indicate that the proposed control strategy could achieve the fusion control of ACC and CA successfully and improve driver adaptability and comfort.