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2014 International Conference on Mechatronics and Control (ICMC)最新文献

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Research on aquatic products safety assessment 水产品安全评价研究
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231517
E. Xu, W. Xinquan, Zhang Ye, Mao Meijing, Tanyan
Aquatic product safety assessment is a hot and hard problem in the research field which is one of the important contents in food safety supervision and management, and is composed of all kinds of assessment indexes which are not only dependent, but also independent. To deal with it, a new method was proposed by using core attributes, discernable matrix and so on. Attribute reduction of rough sets is an NP-hard problem, but there is not a popular efficient algorithm presently. The attribute union concept based on the set theory and the attribute reduced algorithm based on this concept were presented. The algorithm translates the attribute reduction to find the attribute union, reducing the number of scanning the decision table and improving the reduced efficiency. The scanning strategy from bottom to top and with width priority can ensure to find the minimal reduction. Also, an example was presented to describe the algorithm.
水产品安全评价是研究领域的热点和难点问题,是食品安全监督管理的重要内容之一,由各类评价指标组成,这些指标既相互依存又相互独立。为了解决这一问题,提出了一种利用核心属性、可分辨矩阵等方法的新方法。粗糙集的属性约简是一个np困难问题,但目前还没有一个流行的高效算法。提出了基于集合论的属性联合概念和基于此概念的属性约简算法。该算法将属性约简转化为查找属性联合,减少了对决策表的扫描次数,提高了约简效率。采用从下到上、宽度优先级的扫描策略可以保证找到最小的缩减量。最后给出了一个算例来说明该算法。
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引用次数: 0
Fault classification on Tennessee Eastman process: PCA and SVM 田纳西伊士曼过程的故障分类:主成分分析和支持向量机
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231958
Chen Jing, Xin Gao, Xiangping Zhu, Shuangqing Lang
A problem focused on fault classification is studied in detail in this article. Two classification method, support vector machine and principal component analysis, are utilized to process this issue. Support vector machine, a common used binary classifier, is utilized as a multi-class classifier in this paper. There are several approaches to modify the binary classifier into multi-class classifier, and the “one against one” approach is chosen in this paper. Principal component analysis (abbreviated as PCA), regularly utilized to process interrelated variables and dimensionality reduction problems, is used as a fault classification algorithm in this essay. A simple comparison is made in the end of this article from the aspect of classification accuracy, and principal component analysis classifier shows a better classification performance.
本文重点研究了故障分类问题。使用支持向量机和主成分分析两种分类方法来处理这一问题。本文将常用的二值分类器支持向量机作为多类分类器。将二值分类器修改为多类分类器有几种方法,本文选择“一对一”方法。主成分分析(简称PCA)通常用于处理相关变量和降维问题,本文使用主成分分析作为故障分类算法。本文最后从分类精度方面进行了简单的比较,主成分分析分类器表现出更好的分类性能。
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引用次数: 11
Cooperation attitude control of multiple spacecraft using sliding mode variable structure 基于滑模变结构的多航天器协同姿态控制
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231877
Jie Huang, Qingkai Yang, Xuehui Gao
This paper focuses on the attitude control for multiple spacecraft. Two decentralized finite-time control laws are proposed when the communication topologies are directed and undirected, respectively. The proposed control schemes rely on the information of angular velocity errors and error quaternions of the neighboring spacecraft which determines the orientation of the torques and reduce the relative errors. Finite-time stabilization of the system is proved by using Lyapunov function and graph theory. Finally, simulation examples are illustrated to validate the approach by different case studies.
本文主要研究多航天器的姿态控制问题。分别在通信拓扑为有向和无向时,提出了两种分散的有限时间控制律。所提出的控制方案依赖于相邻航天器的角速度误差和误差四元数信息来确定力矩的方向,减小相对误差。利用李雅普诺夫函数和图论证明了系统的有限时间镇定性。最后,通过不同的案例分析,给出了仿真实例来验证该方法。
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引用次数: 0
The design of guidance law and error analysis in deceleration process of lunar soft landing 月球软着陆减速过程制导律设计及误差分析
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231748
Zongzeng Zhang, Chuang Liu, D. Ye, Zhao-wei Sun
Guidance is critical for a probe to land on the moon surface successfully. This paper mostly discusses about the guidance law in deceleration process of lunar soft landing. Based on some hypothesis, it creates the dynamics model which is built in the coordinate system of soft landing. Then the suboptimal fuel-consuming guidance law is designed for the purpose of reducing fuel consumption. Output errors can represent an aggregation of sensor measurement errors, initial errors and stochastic disturbances. So it is necessary to execute error analysis on landing position accuracy in use of Maximum Deviation Method and Monte Carlo Method separately. The simulation results show that the guidance law can realize required accuracy.
制导是探测器成功登陆月球表面的关键。本文主要讨论了月球软着陆减速过程中的制导规律。在假设的基础上,建立了软着陆坐标系下的动力学模型。然后以降低燃油消耗为目的,设计了次优燃油消耗制导律。输出误差可以表示传感器测量误差、初始误差和随机干扰的集合。因此,有必要分别使用最大偏差法和蒙特卡罗法对着陆位置精度进行误差分析。仿真结果表明,该制导律能够达到要求的精度。
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引用次数: 0
An intelligent hybrid BFO-PSO algorithm for multi-loop robust controller design in discrete-time networked control systems 一种用于离散网络控制系统多环鲁棒控制器设计的智能混合BFO-PSO算法
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231609
Liu Jiaqi, Huang Xianlin, B. Xiaojun, X. Z. Gao, K. Zenger
In this paper, the effectiveness of hybrid bacteria foraging optimization (BFO) algorithm and particle swarm optimization (PSO) algorithm have been tested for multi-loop robust controller design in discrete-time networked control systems (NCSs). Of particular interest is the case that varying transmission delays and varying transmission intervals in NCSs cause the optimal function to be nonconvex and even the gradient is not easily computed. The new intelligent hybrid BFO-PSO algorithm is employed to search for the optimal controller parameters, and then to minimize the constrained object function subject to robust control specifications by using a randomized technique is developed which does not need any gradient information. For this purpose, we first extend the results in robust controller synthesis via parameter-dependent Lyapunov function, where the study of interplay between the stability and robust performance of NCSs feedback loops are investigated. Next, the hybrid BFO-PSO algorithm is introduced to minimize the robust control function with communication constraints. Finally, the proposed method is applied to some typical numerical examples. Simulation results show that the system oscillations are effectively damped by the proposed approach.
本文对混合细菌觅食优化算法(BFO)和粒子群优化算法(PSO)在离散时间网络控制系统(NCSs)多环鲁棒控制器设计中的有效性进行了测试。特别令人感兴趣的是,在ncs中,不同的传输延迟和不同的传输间隔导致最优函数是非凸的,甚至梯度也不容易计算。采用新的智能混合BFO-PSO算法搜索最优控制器参数,然后采用不需要任何梯度信息的随机化技术使约束目标函数在满足鲁棒控制规范的前提下最小化。为此,我们首先通过参数相关Lyapunov函数扩展了鲁棒控制器综合的结果,其中研究了ncs反馈回路的稳定性和鲁棒性能之间的相互作用。其次,引入BFO-PSO混合算法来最小化具有通信约束的鲁棒控制函数。最后,对一些典型的数值算例进行了应用。仿真结果表明,该方法有效地抑制了系统的振荡。
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引用次数: 1
A base excitation device with PZT for MEMS dynamic testing under high temperature environment 一种用于高温环境下MEMS动态测试的PZT基极激励装置
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231668
D. She, Yiliu Yang
In order to excite silicon microcantilevers under the temperature ranging from room temperature to 500°C, an impact base excitation device was developed. In excitation device, an electric heating plate is used as the heating element to heat the testing microstructure. A separated structure was designed to protect the piezoelectric ceramic apart from the damage due to the high temperature. Using the developed excitation device, silicon microcantilevers were excited under 500°C. The impulse response signals of the silicon microcantilevers were obtained by a Laser Doppler Vibrometer. The dynamic characteristics of the silicon microcantilevers have been studied. The results show that the designed excitation device is effective to excite the silicon cantilevers under the high temperature environment.
为了在室温~ 500℃范围内对硅微悬臂梁进行激励,研制了一种冲击基激励装置。在激励装置中,电热板作为加热元件对被测微结构进行加热。设计了一种隔离结构,保护压电陶瓷不受高温的破坏。利用所研制的激励装置,在500℃下对硅微悬臂梁进行了激励。用激光多普勒测振仪获得了硅微悬臂梁的脉冲响应信号。研究了硅微悬臂梁的动态特性。结果表明,所设计的激励装置能有效地激励高温环境下的硅悬臂梁。
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引用次数: 0
Tracking for humanoid robot based on Kinect 基于Kinect的人形机器人跟踪
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231741
Qiubo Zhong, Jie Zhao, Chunya Tong
According to the high requirement in environment of tracking for humanoid robot based on vision, a recognition algorithm and control method is present using depth information extraction. The depth information is gathered by a Kinect camera from Microsoft, and an accelerated algorithm is proposed to improve the real-time requirements of image recognition. The obstacles information and robot status are gathered and an artificial potential field method based on safe region is planned to control the tracking. Finally, experiments are achieved on a real humanoid robot Nao.
针对基于视觉的仿人机器人对跟踪环境的高要求,提出了一种基于深度信息提取的识别算法和控制方法。深度信息由微软Kinect摄像头采集,并提出一种加速算法,提高图像识别的实时性要求。在收集障碍物信息和机器人状态的基础上,提出了一种基于安全区域的人工势场方法来控制机器人的跟踪。最后,在一个真实的仿人机器人Nao上进行了实验。
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引用次数: 2
Real-time preprocessing for vision measurement system on high-speed cooperative target 高速协同目标视觉测量系统的实时预处理
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231667
Ye Dong, Yuan Xiao-yu, Chen Gang, Guo Yu-bo, Wang Yan-wei
In the vision measurement of high-speed moving target, the system should with high data-update rate and maintain it stable. Cooperative markers also should be correctly matched. As the markers on the moving target with large displacement in the images between frames, the conventional neighborhood search method with a fixed neighborhood size would decrease the system data-update rate, mismatch the markers, and even miss the target, which result from inappropriate neighborhood setting. In this paper, an embedded real-time preprocessing system is designed. The problem of low data-update rate caused by high-resolution images transmission has been solved by Zero-Delay data transmission mode. A self-adaptive neighborhood search method is proposed with Kalman Filter to estimate the position of neighborhood, and the feedback of the depth information in the measurement results is used to track the neighborhood size. Benefiting from this method, the search range of the marker between frames is remarkably reduced. In the experiment, at the distance of 1.9m, the data update rate of the system remains relatively stable above 65fps when the moving target velocity ranged from 0.033m/s to 2.01m/s. The advantages in matching and real-time ability of the system in high speed target measurement are verified.
在高速运动目标的视觉测量中,系统需要具有较高的数据更新率并保持稳定。合作标记也应该正确匹配。作为帧间图像中位移较大的运动目标上的标记,传统的邻域搜索方法在邻域大小固定的情况下,由于邻域设置不当,会降低系统的数据更新速度,导致标记不匹配,甚至丢失目标。本文设计了一种嵌入式实时预处理系统。零延迟数据传输方式解决了高分辨率图像传输带来的数据更新速率低的问题。提出了一种利用卡尔曼滤波估计邻域位置的自适应邻域搜索方法,并利用测量结果中的深度信息反馈跟踪邻域大小。该方法大大减小了帧间标记的搜索范围。在实验中,在距离为1.9m时,当运动目标速度在0.033m/s ~ 2.01m/s范围内时,系统的数据更新速率在65fps以上保持相对稳定。验证了该系统在高速目标测量中的匹配性和实时性优势。
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引用次数: 1
An attitude determination algorithm for fast maneuver satellites 一种快速机动卫星姿态确定算法
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231974
Li You, S. Zhaowei, Ye Dong
The nonlinearity of the dynamic and kinetic model becomes so high that ordinary attitude determination algorithms are not accurate enough when the satellite rotates fast, and sometimes the system state does not converge. In this paper, a new attitude determination algorithm is presented to deal with this situation. Based on minimal model error (MME) principle, the model error caused by the nonlinearity is considered and estimated in the algorithm. The approximate model derived from the Taylor formula is modified using the estimation of model error, thus the accuracy of attitude estimation is improved. Simulation results indicate that the algorithm presented in this paper performs better than ordinary EKF algorithm when the satellite is rotating fast.
当卫星快速旋转时,动力和动力学模型的非线性变得很高,使得普通的姿态确定算法不够精确,有时系统状态不收敛。针对这种情况,本文提出了一种新的姿态确定算法。基于最小模型误差原理,对非线性引起的模型误差进行了考虑和估计。利用模型误差估计对泰勒公式导出的近似模型进行修正,提高了姿态估计的精度。仿真结果表明,在卫星快速旋转时,本文算法的性能优于普通EKF算法。
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引用次数: 1
Adaptive motion/force control of robots with input nonlinearities via fuzzy logic system 基于模糊逻辑系统的非线性输入机器人自适应运动/力控制
Pub Date : 2014-07-03 DOI: 10.1109/ICMC.2014.7231506
Ci Chen, Zhi Liu
In this paper, an adaptive motion/force control scheme is proposed via fuzzy logic system for solving the problem of input backlash in the practical application of humanoid robot manipulation. Compared with the existing literatures ignoring input nonlinearities, an smooth backlash inverse is firstly employed to deal with the lines-segments effect from backlash nonlinearity. Secondly, a decentralized control configuration is proposed to make the motion and the internal forces converge to the predetermined values at the same time. Moreover, the stabilities of all signals in the robotic system are guaranteed by the Lyapunov second method. Finally, simulation and experiment illustrate the effectiveness of the proposed control scheme.
针对仿人机器人实际操作中存在的输入侧隙问题,提出了一种基于模糊逻辑系统的自适应运动/力控制方案。与忽略输入非线性的现有文献相比,首先采用平滑的间隙逆来处理间隙非线性引起的线段效应。其次,提出了一种分散控制结构,使运动和内力同时收敛于预定值;此外,利用李雅普诺夫第二方法保证了机器人系统中所有信号的稳定性。最后,通过仿真和实验验证了所提控制方案的有效性。
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引用次数: 1
期刊
2014 International Conference on Mechatronics and Control (ICMC)
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