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

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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
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
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
Simulations and Analysis on the Course of a Ship Motion Based on CFD and DGT with High-order Stoke Wave 基于CFD和DGT的高次斯托克波舰船运动过程模拟与分析
Yuanyuan Xu, Caixia Lv
An offshore ship suffers from unmatched disturbance caused by sea waves and currents, which may cause ship overturn accidents and need to be studied. In the paper, the Wigley ship model is taken as the research object and a mechanism model of the ship motion is established. CFD(Computational Fluid Dynamics) method and DGT (Dynamic Grid Technology) are used to analyze the course of a ship motion with high-order stoke wave which can replace sine wave as the input wave. The results show that high-order stoke wave is asymmetrically distributed and the ship motion can be studied by using CFD method and DGT based on high-order stoke wave. The simulation provides a foundation on ship motion in six-degree-of-freedom waves and on the ship's resistance study.
近海船舶受到海浪和海流的扰动,可能导致船舶倾覆事故,需要对其进行研究。本文以威格利船舶模型为研究对象,建立了船舶运动的机理模型。采用计算流体力学方法(CFD)和动态网格技术(DGT)对高阶斯托克波代替正弦波作为输入波的船舶运动过程进行了分析。结果表明,高阶斯托克波具有非对称分布,可以利用CFD方法和基于高阶斯托克波的DGT来研究舰船运动。仿真结果为六自由度波浪中船舶运动和船舶阻力研究提供了基础。
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引用次数: 0
Research on Predictive Control of DC/DC Converter for Dynamic Wireless Charging System 动态无线充电系统中DC/DC变换器的预测控制研究
Jiahui Chen, Ze Zhou, Wenjie Chen, Zhaoshuai Sun, Liyan Zhang
Electric vehicles (EV) are the future direction of automotive development, and dynamic wireless charging (DWC) system can effectively solve the difficulty of charging and improve the deficiency in mileage. Therefore, the technology of DWC is an ideal choice for charging electric vehicles. This paper presents the design and analysis of DWC system, and analyses the selection of DC/DC converter and controlled variables. In this study, model predictive control (MPC) is proposed to control DWC system accurately, and MPC is compared with dual loop PID control. Simulation results demonstrate the correctness and effectiveness of the proposed MPC controller in dynamic wireless charging system.
电动汽车(EV)是未来汽车发展的方向,而动态无线充电(DWC)系统可以有效解决充电难、改善续航里程不足的问题。因此,DWC技术是电动汽车充电的理想选择。本文介绍了DWC系统的设计与分析,分析了DC/DC变换器和被控变量的选择。本文提出了模型预测控制(MPC)对DWC系统进行精确控制,并与双环PID控制进行了比较。仿真结果验证了所提出的MPC控制器在动态无线充电系统中的正确性和有效性。
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引用次数: 0
An unsupervised learning based simplification on ship motion model and its verification 基于无监督学习的船舶运动模型简化及其验证
Jiaqi Luo, Ying Shi, Lingyun Xie
In this paper, simplification method for ship model is proposed. Firstly, sensitivity index with a depressive strategy is introduced to characterize the significance of hydrodynamic coefficients for higher accuracy. Secondly, an unsupervised learning based simplification is proposed and can properly and effectively reduce the hydrodynamic coefficients. Thirdly, open-loop and closed-loop simulation are carried out to verify that simplification. Experiment result shows that clustering are effective in horizontal rotational movement and horizontal zigzag maneuver with the maximum and minimum errors of the motion parameters are 4.75% and 0.24% respectively within acceptable range.
本文提出了船舶模型的简化方法。首先,引入带有抑制策略的灵敏度指标来表征水动力系数的重要性,以获得更高的精度。其次,提出了一种基于无监督学习的简化方法,可以适当有效地降低水动力系数;第三,通过开环和闭环仿真验证了该简化方法。实验结果表明,该聚类算法在水平旋转运动和水平之字形机动中均有较好的效果,运动参数的最大误差为4.75%,最小误差为0.24%,均在可接受范围内。
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引用次数: 1
Emergency Supplies Center Location Clustering Model Based on Imperialist Competitive Algorithm 基于帝国竞争算法的应急物资中心选址聚类模型
Haoran Wang, Zexuan Sun, Chengyang Liao, Wanru Cui, Qingyong Zhang
In this paper, 2017's hurricane relief in Puerto Rico as the background, a k-means clustering model based on constrained multi-objective multi-sourced weber problem is introduced to determine the optimal locations of emergency material centers, which minimizes distance between road points and emergency supplies centers and weighted distance between hospitals and emergency supplies centers. To effectively solve the model aforementioned, a novel imperialist competitive algorithm (ICA) is proposed which compares two solutions with the lexicographical method. Finally, the results of real data are given and show the effectiveness in solving the problem.
本文以2017年波多黎各飓风救援为背景,引入基于约束多目标多源weber问题的k-means聚类模型,确定应急物资中心的最优位置,使道路点与应急物资中心之间的距离最小,医院与应急物资中心之间的加权距离最小。为了有效地解决上述模型,提出了一种新的帝国主义竞争算法(ICA),该算法将两种解与词典法进行比较。最后给出了实际数据的结果,证明了该方法的有效性。
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引用次数: 0
Double Inverted Pendulum System Control Based on Internal Model Principle 基于内模原理的双倒立摆系统控制
Haibin Shi, Z. Xu, Tao Sun, Chuanping Wu
The internal model principle is used to study the tracking control problem of the rotary double inverted pendulum system. According to the dynamic characteristics of the given signal, the servo compensator and the augmented system are constructed. Then, the tracking control problem is transformed into the optimal control problem, and the feedback control law is calculated by the optimal control theory. A reduced-order state observer is established to estimate the state of the controlled signal by the known state vectors. And it reduces the use of detection devices in the system. The simulation results of the rotary double inverted pendulum system show that the upper pendulum angle can follow the given signal variable change without steady error. Meanwhile, the system has good dynamic performance.
利用内模原理研究了旋转双倒立摆系统的跟踪控制问题。根据给定信号的动态特性,构造了伺服补偿器和增广系统。然后,将跟踪控制问题转化为最优控制问题,利用最优控制理论计算反馈控制律。建立了一个降阶状态观测器,利用已知的状态向量估计被控信号的状态。并且减少了系统中检测设备的使用。对回转式双倒立摆系统的仿真结果表明,倒立摆上摆角能随给定信号变量的变化而变化,且无稳态误差。同时,系统具有良好的动态性能。
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引用次数: 2
A Muti-branch Convolutional Netural Network for Mobile Platform 面向移动平台的多分支卷积神经网络
Kangyu Gao, Qingyong Zhang, Luyang Yu, Lutong Huo
We proposed a new type of light-weight convolutional neural network MRINet for low computing power requirements. This model is applied with strategies including depthwise separable convolution, Channel pruning and ELU activation. It greatly reduces the amount of calculation while getting high accuracy. MRINet can complete the training process and application on mobile phones and other mobile platforms. By integrating into the corresponding application, which can solve many real problems including self-medication. By training on the ISIC dataset, as compared to MobileNet, we improved training speed by 23%, while accuracy is increased 3.3%.
针对低计算能力要求,提出了一种新型的轻量级卷积神经网络mmrinet。该模型采用了深度可分离卷积、通道修剪和ELU激活等策略。在获得较高精度的同时,大大减少了计算量。MRINet可以在手机和其他移动平台上完成培训过程和应用。通过集成到相应的应用程序中,可以解决包括自我药疗在内的许多实际问题。通过在ISIC数据集上进行训练,与MobileNet相比,我们的训练速度提高了23%,准确率提高了3.3%。
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引用次数: 0
Principal component analysis to guide the reduce the risk of fall 主成分分析指导降低跌倒风险
Shiyuan Jia, Shenpei Zhou, Zhiyong Li
The elderly have poor rehabilitation ability, and are prone to complications after falling, which seriously endangers the physical condition of the elderly. Therefore, it is very important to study the balance ability of the elderly and its influencing factors. We constructed a mathematical model to analyze the data related to the walking of the elderly and proposed suggestions for improving stability. Considering the three aspects of gait, center of gravity and motion, 25 eigenvalues were extracted to evaluate the body balance of the elderly. Then, we constructed a balanced risk assessment system for the elderly. The entropy method is used to calculate the information content of eigenvalues as the basis of weighting. We added the elderly BMI and disease history to the risk assessment system for simulation calculation. Borrowing economic thoughts, constructing a random frontier model based on whether the elderly fall as a dependent variable, comparatively analyzing by gender, and studying the influence of gait and exercise on the balance ability of the elderly. We found that gait and center of gravity have a greater impact on the balance of the elderly, BMI has less influence, and the balance between male and female is quite different. Finally, the model is tested. We analyze the sensitivity of each index of the risk assessment system. The results are in line with expectations and the model has certain applicability.
老年人康复能力差,跌倒后容易出现并发症,严重危害老年人的身体状况。因此,研究老年人的平衡能力及其影响因素具有十分重要的意义。我们构建数学模型,对老年人步行相关数据进行分析,并提出提高稳定性的建议。从步态、重心和运动三个方面提取25个特征值,对老年人的身体平衡进行评价。然后,我们构建了一个平衡的老年人风险评估体系。利用熵值法计算特征值的信息量,作为加权的依据。我们将老年人BMI和病史加入风险评估系统进行模拟计算。借鉴经济学思想,构建以老年人是否跌倒为因变量的随机前沿模型,按性别进行对比分析,研究步态和运动对老年人平衡能力的影响。我们发现步态和重心对老年人平衡的影响较大,BMI影响较小,男女平衡差异较大。最后,对模型进行了验证。分析了风险评价体系各指标的敏感性。结果符合预期,模型具有一定的适用性。
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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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