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2006 6th World Congress on Intelligent Control and Automation最新文献

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Implementing Automation and Intelligentization of the Talysurf-5 Type Surface Roughness Measuring Instrument Talysurf-5型表面粗糙度测量仪自动化、智能化的实现
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713357
Z. Gao, Yan Jiang, Dacheng Li, Jian Wang, Wanmei Zhang, Xinnian Wang
In order to solve the disadvantages of Talysurf-5 type surface roughness measuring instrument that data processing was slow, printed graphs were inadequate and the operation was tedious, brand-new designs were carried out in the latter circuit and the data processing part, which included hardware circuit design and software programming. Experimental results indicate that the new system has the following features: versatile functions, simple operating and high testing precision, implementing automation and intelligentization of the measurement completely, which has high applicability and performance price ratio
为了解决Talysurf-5型表面粗糙度测量仪数据处理速度慢、打印图形不充分、操作繁琐等缺点,对后端电路和数据处理部分进行了全新的设计,包括硬件电路设计和软件编程。实验结果表明,新系统功能齐全,操作简单,测试精度高,完全实现了测量的自动化和智能化,具有较高的适用性和性价比
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引用次数: 1
A Fault Diagnosis Method of Rolling Bearings Using Empirical Mode Decomposition and Hidden Markov Model 基于经验模态分解和隐马尔可夫模型的滚动轴承故障诊断方法
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714166
Bin Wu, Changjian Feng, Minjie Wang
This paper describes a new approach to detect localized rolling bearing defects based on empirical mode decomposition (EMD) and hidden Markov model (HMM). In view of the non-stationary characteristics of bearing fault vibration signals, using EMD method, the original non-stationary vibration signal can be decomposed into a finite number of stationary signals. The stationary signal adapts itself better to the conditions of fault characteristic parameter based on power spectrum analysis and also show bearing fault characteristics clearly. By setting envelope-singles fault-characteristic parameters of each main stationary signal to train HMM, this study also presents a method of pattern recognition for bearing fault diagnosis using HMM. Experimental results show that (1) the approach has successful bearing fault detection rates as high as 98% for every single fault; (2) although fault styles sometimes are confusing, the approach proves better at recognizing combinations of these faults
提出了一种基于经验模态分解(EMD)和隐马尔可夫模型(HMM)的滚动轴承局部缺陷检测方法。针对轴承故障振动信号的非平稳特性,采用EMD方法将原始非平稳振动信号分解为有限个平稳信号。基于功率谱分析的平稳信号能更好地适应故障特征参数的条件,并能清晰地显示轴承故障特征。通过设置各主要平稳信号的包络单次故障特征参数来训练HMM,提出了一种基于HMM的轴承故障诊断模式识别方法。实验结果表明:(1)该方法对单个轴承故障的检测成功率高达98%;(2)尽管断层样式有时令人困惑,但事实证明,该方法在识别这些断层的组合方面效果更好
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引用次数: 3
Application of A Simple Genetic Algorithm to the Stability of Slopes Subjected to Pore-Water Pressure 简单遗传算法在孔隙水压力作用下边坡稳定性分析中的应用
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713054
T. Nian, De-feng Zheng
A simple genetic algorithm (SGA) is applied to the search for the minimum factor of safety and the corresponding critical failure mechanism of the slopes subjected to pore-water pressure based on the kinematical approach of limit analysis and the shear strength reduction technique. The method is shown to be superior to mathematics programming procedure and other optimization techniques, which can find false minima, and to 'brute force' approaches, which require the analysis of a very large number of possibilities. Numerical results are presented and the efficiency and capability of the proposed method is verified. Finally, comparable computations are made to examine the influence of pore water pressure on slope stability
基于极限分析的运动学方法和抗剪强度折减法,将简单遗传算法(SGA)应用于寻找孔隙水压力作用下边坡的最小安全系数及其临界破坏机制。该方法被证明优于数学规划程序和其他优化技术,这些技术可以找到假极小值,也优于需要分析大量可能性的“蛮力”方法。给出了数值结果,验证了该方法的有效性和能力。最后对孔隙水压力对边坡稳定性的影响进行了对比计算
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引用次数: 2
Development of Network Control System of Tobacco Packing Machine 烟草包装机网络控制系统的研制
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714367
Qingyu Yang, Hongjiang Wu, Lincang Ju, Sibo Ge, R. Shi
A network control system used for tobacco packing machine is developed in this paper. The key technologies including software framework of monitoring program and network communication of S5-135 multi-processor PLC are researched in depth. Furthermore, the functions and characters of the network control system are analyzed. This control system realizes communications between monitoring station and S5-135 multi-processor PLC using PROFIBUS protocol, and the integration between PROFIBUS and enterprise information network MIS at the same time. This control system has already been implemented in one large-scale tobacco group successfully, and good economic benefits have been achieved
本文研制了一种烟草包装机网络控制系统。对S5-135多处理器PLC监控程序的软件框架和网络通信等关键技术进行了深入研究。在此基础上,分析了网络控制系统的功能和特点。该控制系统采用PROFIBUS协议实现了监控站与S5-135多处理机PLC之间的通信,同时实现了PROFIBUS与企业信息网络MIS的集成。该控制系统已在某大型烟草集团成功实施,取得了良好的经济效益
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引用次数: 1
Off-line Chinese Signature Verification based on Optimal Matching of Projection Profiles 基于投影轮廓最优匹配的离线中文签名验证
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714006
Wei Tian, Y. Qiao
An optimal scheme for off-line Chinese signature verification is described in the paper. By using the projection profiles of signatures in different directions, the scheme obtained the objective function of signature verification. Then it employed dynamic programming for optimal matching and carried out training and verification. Otherwise, the technique of selecting the reference signature sample and decision threshold in verification was proposed in order to reduce random disturbance. The experimental results show that the least error rate can be obtained by using the combination of two different directions of projection profiles in gray images
提出了一种离线中文签名验证的优化方案。该方案利用签名在不同方向上的投影轮廓,得到了签名验证的目标函数。然后采用动态规划进行最优匹配,并进行训练和验证。另外,为了减少随机干扰,提出了在验证中选择参考签名样本和决策阈值的技术。实验结果表明,在灰度图像中使用两个不同方向的投影轮廓组合可以获得最小的错误率
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引用次数: 4
Synchronization of Chaotic Systems Based on Nonlinear Feedback Control 基于非线性反馈控制的混沌系统同步
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712465
Xiaorun Li, Liaoying Zhao, Guangzhou Zhao
Based on geometric theory of nonlinear feedback control, a new method to synchronize chaotic systems was put forward. As prerequisite of an appropriate smooth vector field by virtue of nonlinear differential geometry theory to assure the normalization of the receiver system was completed, and then in terms of differences of outputs and their different orders derivatives of the transmitter and receiver, the synchronization error state equations were constructed. By pole assignment, a nonlinear controller to synchronization output signals of two chaotic systems was also given and extended to the whole or part of the states of the two systems. As a result, numerical simulation to the Chua's circuit and its application in secure communication proves the efficiency of the suggested methods
基于非线性反馈控制的几何理论,提出了一种新的混沌系统同步方法。基于非线性微分几何理论,以获得合适的光滑矢量场作为保证接收系统归一化的前提,根据发送端和接收端的输出差及其不同阶导数,构建同步误差状态方程。通过极点配置,给出了一种用于同步两个混沌系统输出信号的非线性控制器,并将其扩展到两个混沌系统的全部或部分状态。通过对蔡氏电路的数值仿真和在保密通信中的应用,验证了所提方法的有效性
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引用次数: 1
Nonlinear Model Predictive Control with Parameter-Dependent Terminal Penalty 具有参数相关终端惩罚的非线性模型预测控制
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712732
Zhiqiang Zou, Lihong Xu, Meng Yuan
We propose a quasi-infinite horizon nonlinear model predictive control with terminal inequality constraint and terminal state quadratic penalty. The feasibility of terminal state inequality constraint implies the states at the end of the horizon are in a prescribed asymptotically stable but not necessarily invariant ellipsoidal set in terms of an auxiliary parameter-dependent quadratic Lyapunov function. The terminal state penalty matrix of the terminal penalty item is to be chosen as parameter-dependent matrix. The technology relaxes terminal state inequality constraint and reduces the state penalty in terminal stable set. Then two stabilizing nonlinear model predictive control algorithms are proposed based on a sequence of asymptotically stable parameter-dependent ellipsoidal set computed offline with different upper bound
提出了一种具有终端不等式约束和终端状态二次惩罚的拟无限视界非线性模型预测控制。终端状态不等式约束的可行性意味着视界末端的状态在一个辅助参数相关的二次Lyapunov函数的规定的渐近稳定但不一定不变的椭球集中。选择终端惩罚项的终端状态惩罚矩阵作为参数相关矩阵。该技术放宽了终端状态不等式约束,减少了终端稳定集中的状态惩罚。在此基础上,提出了两种基于离线计算的具有不同上界的渐近稳定参数相关椭球集序列的稳定非线性模型预测控制算法
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引用次数: 0
Robust Overlapping Decentralized Control for Multi-area Power Systems with Radial Structure 径向结构多区域电力系统的鲁棒重叠分散控制
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712538
Xiaohua Li, Hongyan Guo, Xue-Bo Chen
The problem of robust overlapping decentralized control for a class of multi-area power system with radial structure are discussed in this paper. Based on its own structure information a new control method is presented, which can improve the robust decentralized control performance of the radial structure interconnected power system. In the method, the special overlapping decomposition process is carried on for the radial structure based on the restriction conditions of inclusion principle at first. Then the robust decentralized controllers are designed by means of linear matrix inequality (LMI) approach. The proposed method is applied to AGC of a four-area radial structure power system, and the simulation results show that the performances of the controllers designed by proposed method are better than the one by LMI approach directly
讨论了一类径向结构的多区域电力系统的鲁棒重叠分散控制问题。提出了一种基于自身结构信息的新型控制方法,提高了径向结构互联电力系统的鲁棒分散控制性能。该方法首先基于包含原理的约束条件,对径向结构进行特殊的重叠分解过程;然后采用线性矩阵不等式(LMI)方法设计鲁棒分散控制器。将该方法应用于四区径向结构电力系统的自动控制,仿真结果表明,采用该方法设计的控制器性能优于直接采用LMI方法设计的控制器
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引用次数: 1
Neural Network Online Decoupling for a Class of Nonlinear System 一类非线性系统的神经网络在线解耦
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712900
Xinli Li, Yan Bai, L. Yang
Aim at a class of nonlinear MIMO systems, the neural networks online decoupling algorithm is proposed. The elitist genetic algorithms and hybrid genetic algorithms are adopted respectively to train the neural networks in order to compensate coupling effect. Based on analysis of the convergence of the genetic algorithms, the feasibility of the online decoupling algorithm is discussed. The effectiveness of the algorithm has been shown by numerical simulations combing nonlinear MIMO system
针对一类非线性多输入多输出系统,提出了一种神经网络在线解耦算法。分别采用最优遗传算法和混合遗传算法对神经网络进行训练,以补偿耦合效应。在分析遗传算法收敛性的基础上,讨论了在线解耦算法的可行性。结合非线性MIMO系统的数值仿真验证了该算法的有效性
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引用次数: 13
Prediction Method for Machining Quality Based on Weighted Least Squares Support Vector Machine 基于加权最小二乘支持向量机的加工质量预测方法
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713290
Dehui Wu, Shi-yuan Yang, Hua Dong
A new machining error prediction approach, which is based on the weighted least squares support vector machine (LS-SVM), was given. The nearer sample was set a larger weight, while the farther was set the smaller weight in the history data. In the same condition, the results show that the prediction accuracy of the weighted LS-SVM is 40% higher than that of the standard LS-SVM. Compared with other more modeling approaches, the prediction effect indicates that the proposed method is more accurate and can be realized more easily. It provides a better way for on-line quality monitoring and controlling of dynamic machining
提出了一种基于加权最小二乘支持向量机(LS-SVM)的加工误差预测方法。历史数据中,越近的样本权值越大,越远的样本权值越小。结果表明,在相同条件下,加权LS-SVM的预测精度比标准LS-SVM的预测精度提高40%。与其他更多的建模方法相比,预测效果表明该方法更准确,更容易实现。为动态加工质量在线监测和控制提供了较好的方法
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引用次数: 7
期刊
2006 6th World Congress on Intelligent Control and Automation
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