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2007 IEEE International Conference on Control and Automation最新文献

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Sliding Mode Control of Robot Manipulators Based on Neural Network Reaching Law 基于神经网络逼近律的机器人机械臂滑模控制
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376382
Zhimei Chen, Jing-gang Zhang, Zhenyan Wang, Jian-chao Zeng
A new neural network sliding mode control method of robot manipulators is proposed, which is formed by incorporating sliding mode variable structure control (SMVSC) and neural network reaching law. The reaching law parameters are regulated adaptively by two feedforward neural networks (FNNs) respectively. This method converts a multi-input system into n single-input systems. Its control arithmetic is simple and easy to implement. It can not only eliminate the chattering of sliding mode control and strengthen the system robustness, but also improve the character of reaching phase. Tracking errors can promptly converge to a neighborhood of zero. The simulation results of two-degree-of-freedom robot manipulators prove the effectiveness of this scheme.
将滑模变结构控制(SMVSC)与神经网络趋近律相结合,提出了一种新的机器人机械臂神经网络滑模控制方法。到达律参数分别由两个前馈神经网络自适应调节。这种方法将一个多输入系统转换成n个单输入系统。其控制算法简单,易于实现。它不仅可以消除滑模控制的抖振,增强系统的鲁棒性,而且可以改善到达相位的特性。跟踪误差可以迅速收敛到零的邻域。二自由度机器人的仿真结果证明了该方案的有效性。
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引用次数: 20
An Approach of Bearing Fault Detection and Diagnosis at Varying Rotating Speed 一种变转速轴承故障检测与诊断方法
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376637
Minjie Wang, Bin Wu, Shanping Yu, Changjian Feng
Frequency domain method including high frequency resonance technique (envelope analysis) is one of the most efficient methods for detecting localized defect of rolling element bearings. But this theory has a limitation that bearings must run at a constant rotating speed. However, in practice, with load change or in the run-ups and run-downs processes, bearings often work at varying rotating speed. This paper proposes a new scheme to solve this problem, which is based on time-frequency analysis and order analysis techniques. For realizing order tracking without the employment of hardware such as tachometer and keyphasor, the instantaneous frequency estimation method is used for accessing the resampling time serials. The feasibility of this scheme is confirmed by experiment on bearings with outer and inner race faults.
包括高频共振技术(包络分析)在内的频域方法是检测滚动轴承局部缺陷最有效的方法之一。但是这个理论有一个限制,即轴承必须以恒定的转速运行。然而,在实践中,随着负载的变化或在运行和停机过程中,轴承经常以不同的转速工作。本文提出了一种基于时频分析和阶数分析的新方案来解决这一问题。为了在不使用转速表和键相量等硬件的情况下实现顺序跟踪,采用瞬时频率估计法获取重采样时间序列。通过内外圈故障轴承的实验验证了该方案的可行性。
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引用次数: 4
Robust Global Stabilization for Nonlinear Systems with Unmodeled Dynamics by Output Feedback 非线性未建模系统的输出反馈鲁棒全局镇定
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376537
A. Wu, G. Duan
Robust global stabilization of a class of cascaded systems with input unmodeled dynamics is considered by output feedback. The admissible unmodeled dynamics is assumed to be relative degree zero and input-to-state stable. A high-gain observer with an additional parameter is employed to cancel the affects of the unmodeled dynamics.
利用输出反馈研究了一类输入未建模的级联系统的鲁棒全局镇定问题。假定允许的未建模动力学为相对零度,且输入到状态稳定。采用带附加参数的高增益观测器来消除未建模动力学的影响。
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引用次数: 1
Design of Location System for an Underwater Autonomous Robot 水下自主机器人定位系统设计
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376662
Qingmei Yang, Jianmin Sun
Multi-sensor data fusion is to combine multi-sensor's information, which is redundant or complementary in the space or the time to obtain the uniform description or the understanding to the measured object according to a certain criterion. Data fusion methods are widely used in autonomous robots' measurement system in order to acquire more comprehensive and more exact information. The paper analyzed several methods of multi-sensor data fusion such as Bayesian theorem, Kalman filter, Dempster-Shafer evidence theory and so on. Move-in-mud robot is an autonomous robot, which can excavate hole in the mud underwater. It can be used in sunken wreck salvage to improve the efficiency of excavating the hole. Location system of move-in-mud robot is designed in the paper and location principle of move-in-mud robot is analyzed. Fuzzy Kalman filter is applied to fuse redundant location information of the robot. The data fusion method is simulated and the simulation result shows fuzzy Kalman filter can get better location accuracy than Kalman filter especially when the errors are big.
多传感器数据融合是将多个传感器在空间或时间上冗余或互补的信息结合起来,按照一定的准则获得对被测物体的统一描述或理解。为了获得更全面、更精确的信息,数据融合方法在自主机器人的测量系统中得到了广泛的应用。分析了多传感器数据融合的几种方法,如贝叶斯定理、卡尔曼滤波、邓普斯特-谢弗证据理论等。陷泥机器人是一种能够在水下泥浆中进行挖洞的自主机器人。可用于沉船打捞,提高挖孔效率。设计了陷泥机器人定位系统,分析了陷泥机器人的定位原理。采用模糊卡尔曼滤波对机器人的冗余位置信息进行融合。对数据融合方法进行了仿真,仿真结果表明模糊卡尔曼滤波比卡尔曼滤波具有更好的定位精度,特别是在误差较大的情况下。
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引用次数: 1
A Three-tiered Topology Control Model for Large Scale Scale Wireless Sensor Networks 大规模无线传感器网络的三层拓扑控制模型
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376963
Ming Zeng, Bugong Xu
For energy-constrained wireless sensor networks (WSNs), the topology control issue is fundamental and important to maximize the overall network lifetime. Recently a two-tiered network model has been proposed for this purpose. It is a cluster-based network model composed of application and sensor nodes. In this model the application nodes are easy to run out of energy because they not only serve as cluster heads for aggregating data packets from the sensor nodes in their clusters but also are responsible for forming a connected network topology for information dissemination at the higher tier. In order to balance nodes' power consumption and extend the topological lifetime of a WSN with regard to a certain amount of initial energy provision, we propose a logical three-tiered network model which consist of relay nodes (RNs), application nodes (ANs) and sensor nodes (SNs). Under this architecture, the goal of lower-tier SNs is to sense the playing fields and middle-tier ANs only need to gather data from their clusters; Upper-tier RNs are designed to route information as efficiently as possible. In this paper, we first formulate the three-tiered WSN's model as well as the power consumption model of WSNs. Then considering one dimension relaying, we figure out the RNs' optimal placement for each AN which can considerably minimize the total power consumption for WSNs. Finally, we give some criteria for two-dimension relaying.
对于能量受限的无线传感器网络(WSNs),拓扑控制问题是实现网络整体生存时间最大化的基础和重要问题。最近,为此提出了一种两层网络模型。它是由应用节点和传感器节点组成的基于集群的网络模型。在该模型中,应用节点不仅作为簇头来聚合来自其簇内传感器节点的数据包,而且还负责形成一个连接的网络拓扑,以便在更高层传播信息,因此很容易耗尽能量。在初始能量供给一定的情况下,为了平衡节点的功耗并延长WSN的拓扑寿命,提出了由中继节点(RNs)、应用节点(ANs)和传感器节点(SNs)组成的逻辑三层网络模型。在这种架构下,低层网络的目标是感知竞争环境,中层网络只需要从它们的集群中收集数据;上层rn的设计目的是尽可能高效地路由信息。本文首先建立了WSN的三层模型和功耗模型。然后考虑一维中继,我们计算出每个网络的RNs的最优位置,这可以大大降低WSNs的总功耗。最后给出了二维继电保护的判据。
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引用次数: 2
Interface Issues in Hardware-In-the-Loop Simulation for Spacecraft On-orbit Docking 航天器在轨对接硬件在环仿真中的接口问题
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376829
Tong-li Chang, D. Cong, Zhengmao Ye, Jun-wei Han
This paper presents an idea on the simulation/hardware interface of hardware-in-the-loop (HIL) simulation for spacecraft on-orbit docking. The obstacles that hinder the design of the HIL simulation system are discussed. Then the design criteria of the HIL simulation system are presented based on them. Since the practical HIL simulation system for on-orbit docking is very complicated, the verification about the criteria was done on 1 degree-of-freedom (DOF) case with the nonlinear docking mechanism model. To put the design criteria into practice, the two-degree-of-freedom control structure is required as a control structure for the HIL simulation system for on-orbit docking. The relation ship between the distortion of the HIL simulation and the transfer characteristics of the simulation/hardware interface is qualitatively discussed. The simulation results on 1 DOF case demonstrated that the ideas and the methods discussed above are feasible and practical.
提出了航天器在轨对接硬件在环仿真的仿真/硬件接口思想。讨论了阻碍HIL仿真系统设计的障碍。在此基础上提出了HIL仿真系统的设计准则。针对实际在轨对接HIL仿真系统的复杂性,采用非线性对接机构模型,在1自由度情况下对准则进行了验证。为实现上述设计准则,需要采用二自由度控制结构作为轨道对接HIL仿真系统的控制结构。定性地讨论了HIL仿真失真与仿真/硬件接口传输特性的关系。在1自由度情况下的仿真结果表明了上述思想和方法的可行性和实用性。
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引用次数: 8
GPC Algorithm and Queuing-selecting for Networked Level Control 网络电平控制的GPC算法与排队选择
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376837
Wanzeng Kong, Shan-an Zhu, Can Yang
Networked level control is a very important part in many industries. In this paper, a new method called generalized predictive control (GPC) combined with a queuing-selecting strategy is applied for level control in networked control system (NCS). A distributed model which contains an event-driven controller, and a time-driven sensor and actuator is adopted in the system. The proposed method relieve the degradation of the network control system caused by the network-induced delay . The experiment is carried out on three-coupled-tank over real network to test the proposed method, which verifies the stability and robustness of the proposed method.
网络化液位控制在许多行业中都是非常重要的组成部分。本文将广义预测控制(GPC)与排队选择策略相结合,应用于网络控制系统(NCS)中的水平控制。系统采用分布式模型,其中包含事件驱动控制器、时间驱动传感器和执行器。该方法减轻了网络时延对网络控制系统性能的影响。在真实网络上的三耦合坦克上进行了实验,验证了所提方法的稳定性和鲁棒性。
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引用次数: 0
A New Method for Intelligent Fault Diagnosis of Hydroelectric Generating Unit 水力发电机组智能故障诊断新方法
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376638
Zhong Liu, Jian-zhong Zhou, Min Zou, Yongchuan Zhang, Liangliang Zhan
There are considerably economical and social merits in the condition monitoring and fault diagnosis of hydroelectric generating unit (HGU). After the analysis on shortages in conventional techniques of signal processing and fault diagnosis, a new method for intelligent fault diagnosis of HGU based on compound feature extraction and radial basis function neural network (RBFNN) is proposed. Vibration or pressure pulsation signals from different parts of HGU are decomposed into different frequency bands via wavelet transform. Relative energy features are extracted after denoising. The influences of the process parameters' variations on the stability state are evaluated and quantified via correlation analysis, and relationship symptoms are obtained. Compound feature containing abundant fault information with several parameters is then formed and input into RBFNN based diagnosis system to determine the fault type and severity degree. Results of engineering application show that this proposed method can identify the faults relevant to the stability of HGU feasibly and efficiently.
水力发电机组状态监测与故障诊断具有显著的经济效益和社会效益。在分析了传统信号处理和故障诊断技术不足的基础上,提出了一种基于复合特征提取和径向基函数神经网络(RBFNN)的HGU智能故障诊断新方法。通过小波变换,将不同部位的振动或压力脉动信号分解到不同的频段。去噪后提取相对能量特征。通过相关分析,评价和量化了工艺参数变化对稳定状态的影响,得到了相关症状。然后形成包含丰富故障信息的复合特征,并将其输入到基于RBFNN的诊断系统中,以确定故障类型和严重程度。工程应用结果表明,该方法能够有效地识别出影响高压锅炉稳定性的故障。
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引用次数: 3
Based on Computed Tomography Multifractal Analysis of Wood Defect 基于计算机断层扫描的木材缺陷多重分形分析
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376375
Dawei Qi, Lei Yu, Shuxia Han, Fanci Guo
Wood nondestructive testing technology is a new and comprehensive subject. X-ray computed tomography (CT) scanning technology has been applied to the detection of internal defects in the logs for the purpose of obtaining prior information that can be used to arrive at better log sawing decision. Thus, the recognition of internal defects becomes more and more important work. A method in log CT image edge detection of defects based on multifractal theory was applied in the paper. The Holder exponent of image pixels was computed first, then its multifractal spectrum was estimated and different image pixels were classified, Based on multifractal theory, the set of both singular edge points and smoothing edge points is the set of image edge points. Experimental result showed that the method of log CT image in the edge detection based on multifractal theory was a more effective and more local method.
木材无损检测技术是一门新兴的综合性学科。x射线计算机断层扫描(CT)技术已被应用于原木内部缺陷的检测,目的是获取可用于更好的原木锯切决策的先验信息。因此,内部缺陷的识别变得越来越重要。提出了一种基于多重分形理论的对数CT图像缺陷边缘检测方法。首先计算图像像素的Holder指数,然后估计其多重分形谱,对不同的图像像素进行分类,基于多重分形理论,将奇异边缘点和平滑边缘点的集合称为图像边缘点集合。实验结果表明,基于多重分形理论的对数CT图像边缘检测方法是一种更有效、更局部的方法。
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引用次数: 2
An Intelligent Methodology for Business Process Model Verification 业务流程模型验证的智能方法
Pub Date : 2007-11-05 DOI: 10.1109/ICCA.2007.4376788
L. Xinhua, Wang Weida, L. Wenjian
In order to verify the correctness of business process model, A-Net modeling based on activity was studied and a multilevel verification model based on knowledge rules was established. An extended structure of knowledge rule was proposed and a flowchart was presented for the multi-level verification model. Moreover, a modified genetic algorithm was proposed to resolve the resource scheduling conflicts checked by the verification model. The structure and flowchart of the modified genetic algorithm were designed. Finally, an illustrative example was proposed and the verification model was proved feasibility and efficient.
为了验证业务流程模型的正确性,研究了基于活动的a - net建模,建立了基于知识规则的多级验证模型。提出了知识规则的扩展结构,并给出了多级验证模型的流程图。此外,提出了一种改进的遗传算法来解决验证模型检查的资源调度冲突。设计了改进遗传算法的结构和流程图。最后给出了一个算例,验证了该模型的可行性和有效性。
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引用次数: 4
期刊
2007 IEEE International Conference on Control and Automation
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