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2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献

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引用次数: 0
Design and implementation of swirlmeter and its monitoring platform 旋涡仪及其监测平台的设计与实现
Ling Jiang, Bingbing Shen, Liang Hua, Juping Gu, Jiahao Zhao, Dongdong Wu
In order to solve the problems of unstable temperature and pressure in the working environment, the data transmission interference and the difficulty of instrument maintenance, which occur in the industrial field application of the swirlmeter. This paper builds a hardware platform with low-power chips STM32, XTR115 and other devices, and uses the software modular programming idea to realize the product design of intelligent swirlmeter with the two-wire 4∼20mA output. At the same time, a novel networked monitoring platform for the swirlmeter was developed. The platform combines technologies such as wireless transport, database MySQL, and custom communication protocols to enable authorized users to remotely monitor field devices. The experiment proves that the system has high precision, stable operation and reasonable design.
为了解决涡旋仪在工业现场应用中出现的温度、压力不稳定、数据传输干扰、仪器维护困难等问题。本文以低功耗芯片STM32、XTR115等器件搭建硬件平台,采用软件模块化编程思想,实现双线制4 ~ 20mA输出的智能涡流仪的产品设计。同时,开发了一种新型的涡流仪网络化监测平台。该平台结合了无线传输、数据库MySQL和自定义通信协议等技术,使授权用户能够远程监控现场设备。实验证明,该系统精度高,运行稳定,设计合理。
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引用次数: 1
Sliding Mode Control of the Optoelectronic Stabilized Platform Based on the Exponential Approach Law 基于指数逼近律的光电稳定平台滑模控制
Qi Qiao, Kang Nie, Jiuqiang Deng, Wei Ren, Xinglong Chen, Yao Mao
As the tracking target of the optoelectronic tracking system changes, higher requirements are placed on the tracking accuracy of the optoelectronic tracking system. The optoelectronic tracking system will be subjected to various nonlinear disturbances during the actual operation, which affects the tracking accuracy of the system. In the process of designing traditional PID controllers, the nonlinear factors existing in the system are often neglected. The controller designed by this method is difficult to improve the tracking accuracy of the system. Therefore, in order to improve the tracking accuracy of the optoelectronic tracking system, the primary task is to improve the anti-disturbance capability of the system. This paper uses a sliding mode controller, which has the advantages of fast response, insensitivity to parameter changes and disturbances, to suppress the interference of external disturbances on the system. Among them, the sliding model surface adds the integral term of the position error, and the control law adopts the improved exponential approach law, which effectively suppresses the chattering phenomenon of the sliding mode controller and improves the anti-disturbing ability of the optoelectronic tracking system. The simulation results verify the effectiveness and superiority of the sliding mode control strategy designed in this paper.
随着光电跟踪系统跟踪目标的变化,对光电跟踪系统的跟踪精度提出了更高的要求。光电跟踪系统在实际运行过程中会受到各种非线性干扰,影响系统的跟踪精度。在传统PID控制器的设计过程中,系统中存在的非线性因素往往被忽略。采用这种方法设计的控制器难以提高系统的跟踪精度。因此,为了提高光电跟踪系统的跟踪精度,首要任务是提高系统的抗干扰能力。本文采用滑模控制器来抑制外部干扰对系统的干扰,该控制器具有响应快、对参数变化和干扰不敏感等优点。其中,滑模表面增加了位置误差的积分项,控制律采用改进的指数逼近律,有效地抑制了滑模控制器的抖振现象,提高了光电跟踪系统的抗干扰能力。仿真结果验证了本文所设计的滑模控制策略的有效性和优越性。
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引用次数: 2
A Two-level Classification Method for Attacks on the Network 网络攻击的两级分类方法
Yanyan Li, Zhichun Jia, Qiuyang Han, Xing Xing
With the development of computer network technology and the expanding application fields, the types of attacks on the system are becoming more and more complex. The systems security and attack classification are always two challenges for application service providers and enterprises. In recent years, many researchers have turned more attention to them and established evaluation and classifiers that can detect feature selection of network traffic anomalies. However, most research work does not cross-validate evaluation results, and there is no way to distinguish between different types of attacks. All kinds of facts prove that it is necessary to take appropriate countermeasures and defensive attacks. In this paper, we propose a classification framework and use a popular public data set KDD to establish a two-level similarity classification model. According to the attack similarity, our method can quickly and correctly classify the attacks. The experimental results show that our method is effective.
随着计算机网络技术的发展和应用领域的不断扩大,对系统的攻击类型也越来越复杂。系统安全与攻击分类一直是困扰应用服务提供商和企业的两大难题。近年来,许多研究者开始关注这些问题,并建立了能够检测网络流量异常特征选择的评估和分类器。然而,大多数研究工作并没有交叉验证评估结果,也没有办法区分不同类型的攻击。各种事实证明,采取适当的对策和防御攻击是必要的。本文提出了一种分类框架,并利用流行的公共数据集KDD建立了两级相似度分类模型。根据攻击相似度对攻击进行快速、准确的分类。实验结果表明,该方法是有效的。
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引用次数: 0
On the $mathcal{T}$ Decomposition Method for PD Controllers of the Low Order Time Delay Process 低阶时滞过程PD控制器的$mathcal{T}$分解方法
Tiaoyang Cai, Ran-Ran Zhang
The stabilization of Second Order Time Delay Process (SOTDP) with proportional derivative (PD) controllers is considered. A novel procedure following the line of the $tau$ decomposition method is proposed to characterize the space of controller parameters. The division of the space of controller parameters are related to the determination of the purely imaginary roots (PIRs), and the calculation of stable intervals refers to the order of the PIRs. According to our result, analytical formulas on both topics are obtained and the stability switch (under some certain PD controller) versus delay is revealed. Finally, numerical simulations show the effectiveness and correctness.
研究了比例微分控制器对二阶时滞过程(SOTDP)的镇定问题。提出了一种继承$tau$分解方法的新方法来表征控制器参数空间。控制器参数空间的划分涉及到纯虚根(pir)的确定,稳定区间的计算涉及到pir的阶数。根据我们的结果,得到了这两个题目的解析公式,并揭示了(在一定PD控制器下)稳定性对延迟的切换。最后,通过数值仿真验证了该方法的有效性和正确性。
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引用次数: 1
Structure Study of Multiple Traveling Salesman Problem using Genetic Algorithm 基于遗传算法的多旅行商问题结构研究
Y. Zhu, Lin Wu
In the multi-traveling-salesman problem, each salesman must traverse a certain number of cities. The set of these cities is viewed as a unit in this paper. Owing to the shortcomings of the unit structure research in the typical multi-traveling-salesman model, this paper proposes an improved model with quadratic partitioning, which can be applied for the optimization of complex topology structure. Among these complex optimization problems, the structure arrangement of thermoelectric modules is taken as an example. In detail, the equilibrium between terminal voltage and internal resistance is evaluated as the local optimization criterion, and the genetic algorithm is used to solve the problem. The result finally proves that the improved model has excellent applicability by obtaining the high energy conversion of thermoelectric modules.
在多旅行推销员问题中,每个推销员必须穿越一定数量的城市。本文将这些城市的集合视为一个单元。针对典型多旅行推销员模型单元结构研究的不足,提出了一种改进的二次划分模型,该模型可用于复杂拓扑结构的优化。在这些复杂的优化问题中,以热电模块的结构布置为例。将终端电压和内阻之间的平衡作为局部优化准则,并采用遗传算法求解。最后通过对热电模块的高能量转换,证明了改进模型具有良好的适用性。
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引用次数: 4
Partial Derivate Contribution Plot Based on KPLS-KSER for Nonlinear Process Fault Diagnosis 基于KPLS-KSER的非线性过程故障诊断偏导数贡献图
Wenxiang Zhu, Weiting Zhen, J. Jiao
In the process monitoring of nonlinear systems, kernel function is the main means to solve the nonlinear data by mapping low-dimensional nonlinear data to high-dimensional linear data. However, the use of kernel function has two disadvantages: 1. Kernel function needs a lot of calculation, especially under the condition of large number of training samples, 2. Kernel function leads to the inability to obtain the relationship between input variables and statistics. So that the identification of fault variables is difficult. In this paper, Taylor series expansion is used to remove the high order infinitesimal term, so that the Gaussian kernel function is replaced by the input matrix, which greatly reduces the amount of computation required for fault detection and diagnosis. The replacement method is introduced into the KPLS model, and the input matrix is successfully decomposed into quality-related and unrelated parts by using SVD decomposition. Based on the detection model, through the gradient theory, the partial derivate is used to calculate the gradient of each variable in the statistics to isolate the fault variables. In order to verify the effectiveness of the algorithm, this paper uses the TEP model to carry on the simulation experiment, has obtained the very good process monitoring effect, at the same time has greatly reduced the simulation experiment time.
在非线性系统的过程监测中,通过将低维非线性数据映射到高维线性数据,核函数是求解非线性数据的主要手段。然而,使用核函数有两个缺点:1。核函数需要大量的计算,特别是在大量训练样本的情况下,2。核函数导致无法获得输入变量与统计量之间的关系。这给故障变量的识别带来了困难。本文采用泰勒级数展开去除高阶无穷小项,将高斯核函数替换为输入矩阵,大大减少了故障检测和诊断所需的计算量。将替换方法引入到KPLS模型中,通过SVD分解成功地将输入矩阵分解为与质量相关和不相关的部分。在检测模型的基础上,通过梯度理论,利用偏导数计算统计量中各变量的梯度,分离出故障变量。为了验证算法的有效性,本文采用TEP模型进行了仿真实验,取得了很好的过程监控效果,同时大大减少了仿真实验时间。
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引用次数: 4
Adaptive Kalman Filtering for UWB Positioning in Following Luggage 自适应卡尔曼滤波在超宽带跟踪行李定位中的应用
Ke Liu, Zhijun Li
To solve the positioning problem of intelligent following luggage, the positioning method of installing UWB (Ultra-wide-band) on the following luggage has been put forward for its capability of making self-adaptation to Kalman filtering. When luggage is moving, the noise from UWB system will change in accordance with vibration and surrounding environment. Therefore, the range error of distance measurement can be increased and the inhibitory effect of traditional Kalman filtering on error always cannot meet requirements. Concerning the issues above, a weighted self-adaptation Kalman filtering algorithm is proposed. On the basis of synchronized clock and construction of dynamic ranging model, the distance of filtering is set and the triangular centroid coordinates are used to calculate the position on average, improving the reliability and accuracy of positioning. UWB system consists of base stations and tag made of DW1000 radio frequency chips. The base stations are placed at top four corners of the luggage and tag is moved by hand. The experimental results show that, this method can help improve the positioning accuracy of tag effectively, and its path is closer to the real path.
为了解决智能跟随行李的定位问题,提出了在跟随行李上安装超宽带(UWB)的定位方法,该方法具有自适应卡尔曼滤波的能力。当行李移动时,UWB系统发出的噪声会随着振动和周围环境的变化而变化。因此,距离测量的距离误差会增大,传统的卡尔曼滤波对误差的抑制效果往往不能满足要求。针对上述问题,提出了一种加权自适应卡尔曼滤波算法。在同步时钟和构建动态测距模型的基础上,设置滤波距离,利用三角质心坐标计算平均位置,提高了定位的可靠性和精度。UWB系统由基站和由DW1000射频芯片构成的标签组成。基站放置在行李的四个角落,标签是用手移动的。实验结果表明,该方法有效地提高了标签的定位精度,其路径更接近真实路径。
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引用次数: 5
A Laboratory Aquaponics System via PLC and LabVIEW 基于PLC和LabVIEW的实验室水培系统
Wang Wei, Lin Shaohan, Li Kang
In this paper, a laboratory aquaponics system, which is developed to teach undergraduate students at Dalian Ocean University, Liaoning, China, some of the issues regarding aquaponics based on PLC and LabVIEW, is discussed. In this aquaponics system, in order to maintain the ecological balance of water body, Siemens S7-1500 PLC is used to realize data acquisition and automatic control of various sensors and execution devices. LabVIEW programming is used to develop a friendly human-machine interface to realize data display, storage, query and analysis. Finally, the real-time data exchange is completed through OPC communication technology, and the monitoring of the aquaponics system is realized. Experience in using this system in undergraduate teaching indicates that it supports learning of PLC and LabVIEW related courses and it also in line with the marine fisheries characteristics of our school.
本文以大连海洋大学为本科生开发的实验鱼菜共生系统为研究对象,探讨了基于PLC和LabVIEW的鱼菜共生系统中存在的一些问题。在本鱼菜共生系统中,为了维护水体生态平衡,采用西门子S7-1500 PLC实现各种传感器和执行装置的数据采集和自动控制。采用LabVIEW编程开发友好的人机界面,实现数据的显示、存储、查询和分析。最后通过OPC通信技术完成实时数据交换,实现对鱼菜共生系统的监控。本系统在本科教学中的使用经验表明,它支持PLC和LabVIEW相关课程的学习,也符合我校海洋渔业的特点。
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引用次数: 2
A Study on the Optimized Solution of Redundant Manipulators Using Improved General-Weighted Least-Norm Method 基于改进广义加权最小范数方法的冗余机械臂优化解研究
Jie Qiu, Kun Xu, Wenqian Hu, Ziwu Ren
This paper presents the improved general-weighted least-norm (IGWLN) method to heighten the optimization ability for the control of redundant manipulator. The IGWLN method ameliorates the mapping relationship between the optimization target and virtual joint by modifying the transformation matrix, which guarantees the accuracy of main task while accomplishing the subtask and reduces the computation compared with the original general-weighted least-norm (GWLN) method. A simulation in contrast to the GWLN method on a seven-degree-of-freedom (7 DOF) redundant manipulator demonstrates the advantages of the IGWLN method while following a given trajectory.
提出了一种改进的广义加权最小范数(IGWLN)方法,以提高冗余度机械手控制的优化能力。该方法通过修改变换矩阵来改善优化目标与虚拟关节之间的映射关系,在保证主任务精度的同时完成子任务,与原广义加权最小范数(GWLN)方法相比减少了计算量。通过对7自由度冗余机械臂的仿真对比,验证了该方法在给定轨迹下的优越性。
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引用次数: 0
期刊
2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)
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