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2010 Chinese Control and Decision Conference最新文献

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Research on fuzzy intelligent control of coke oven temperature 焦炉温度的模糊智能控制研究
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5499083
Guozhang Jiang, Gongfa Li, Jianyi Kong, Liangxi Xie
{"title":"Research on fuzzy intelligent control of coke oven temperature","authors":"Guozhang Jiang, Gongfa Li, Jianyi Kong, Liangxi Xie","doi":"10.1109/CCDC.2010.5499083","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5499083","url":null,"abstract":"Coke oven production has the characteristic of nonlinear, large inertia, large disturbances highly-coup ling and so on. The control method of “Intermittent heating control” was adopted in traditional heating control system of coke, and cannot satisfy the command of heating control on coke oven. The control principle of combining the “intermittent heating control” with the heating gas flow adjustment was adopted according to analyzing the difficulty and strategy of heating control on coke oven. On the basis of studying deficiency of the existing control strategy, fuzzy control was proposed to establish heating intelligent control of coke oven. The algorithm of intelligent fuzzy immune PID control was designed and simulation of coke oven production was carried. The results show that the intelligent fuzzy immune PID control has the advantages of shorter adjustment time, quicker response time, higher anti-interference ability better dynamic property and stability. It can reduce effectively the fluctuation of coke oven temperature, has better control property and practical value.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125032658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Application of signal processing and neural network for transient waveform recognition in power system 信号处理和神经网络在电力系统暂态波形识别中的应用
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498788
Shanlin Kang, Huanzhen Zhang, Yuzhe Kang
{"title":"Application of signal processing and neural network for transient waveform recognition in power system","authors":"Shanlin Kang, Huanzhen Zhang, Yuzhe Kang","doi":"10.1109/CCDC.2010.5498788","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498788","url":null,"abstract":"The electric utilities and end users of power system network have become more concerned about power quality issues due to technical and financial consequences that have resulted from electric power quality disturbances. The power quality monitoring technology has an effective on analyzing power quality related problems. This paper presents a novel study combining wavelet transform with pattern recognition technique to investigate voltage stability using for power quality events. The wavelet transformation possesses capabilities of time and frequency domain localizations, achieving a great impetus in signal singularity detection. The statistics-based denoising method is designed to filter the random noise and impulse noise in power quality disturbance signals, incorporating the advantages of wavelet transform to extract signal feature meanwhile restraining various noises. The wavelet decomposition coefficients as feature vector of neural network are presented for extracting disturbance signal. The neural network provides a means of determining a degree of belief for each identified disturbance waveform. The performance of the proposed approach is studied and a proper combination of wavelet transformation and neural network is identified.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126046890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Stability of a controlled strings network with a circuit 带电路的受控弦网的稳定性
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498740
Dongyi Liu, G. Xu
{"title":"Stability of a controlled strings network with a circuit","authors":"Dongyi Liu, G. Xu","doi":"10.1109/CCDC.2010.5498740","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498740","url":null,"abstract":"A strings network with a circuit is considered under the assumptions that the network is connected and are fixed at the exterior nodes and that the controllers are placed on the inner nodes of the network. By the semigroup theory and the spectral analysis, it is shown that the system satisfies the Riesz basis property and the spectrum determined growth condition. Thus, by the spectral analysis in imaginary axis, some sufficient conditions are provided for the asymptotical stability of the network.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123476025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Robust H∞ Control for linear systems with delay in state or input 状态或输入有延迟的线性系统的鲁棒H∞控制
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498897
E. Tian, Xia Zhao, Wenning Wang, Z. Gu
{"title":"Robust H∞ Control for linear systems with delay in state or input","authors":"E. Tian, Xia Zhao, Wenning Wang, Z. Gu","doi":"10.1109/CCDC.2010.5498897","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498897","url":null,"abstract":"A Piecewise analysis method technique is proposed to investigate the H∞ control of uncertain systems with time delay in state or input. Firstly, the variation interval of the time-varying delay is divided into several subintervals with equal length. By checking the variation of derivative of the Lyapunov functional in every subinterval, some new criteria on H∞ performance analysis of the systems are derived in terms of the convexity properties of a matrix inequality and some other new analysis techniques. Then, criteria for the H∞ control design are presented, which are concluded from the H∞ performance analysis results. As applications of the derived results, H∞ performance analysis and H∞ control design are carried out for some systems, including a numerical systems and linearized truck trailer system. Discussions show that, the proposed method is effective for these systems and appears much less conservativeness than those given in the existing references.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123770198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The endpoint forecast of AOD stove ferroalloy steel-making based on wavelet neural network 基于小波神经网络的AOD炉炼钢终点预测
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498689
Yangxiao Hong, Xu Jing, Yanghong Tao
{"title":"The endpoint forecast of AOD stove ferroalloy steel-making based on wavelet neural network","authors":"Yangxiao Hong, Xu Jing, Yanghong Tao","doi":"10.1109/CCDC.2010.5498689","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498689","url":null,"abstract":"The AOD stove ferroalloy steel-making endpoint temperature and the ingredient are the control objectives of AOD stove ferroalloy steel-making, which has serious nonlinear relations with variables such as oxygen blown quantity and the quantity of molten steel and is unable to measure continuously online. This article develops a set of AOD stove smelt ferroalloy end-point control model based on the wavelet neural network and some actual data of a 180t AOD ferroalloy stove in Jilin Ferroalloy Factory to conduct the model verification research. By forecasting the end-point temperature and the carbon content and gathering the spot operating data and the practical application, we can see that the double hit probability of carbon and temperature reaches above 80%.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123807827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A novel rough neural network based on fuzzy partition 一种基于模糊划分的粗糙神经网络
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498822
Xulong Xiang, Zhang Dongbo, Wang Yaonanr, Liu ZiWen
{"title":"A novel rough neural network based on fuzzy partition","authors":"Xulong Xiang, Zhang Dongbo, Wang Yaonanr, Liu ZiWen","doi":"10.1109/CCDC.2010.5498822","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498822","url":null,"abstract":"A method to partition the universe of discourse based on fuzzy clustering is proposed to solve the partition problem in the process of constructing rough neural network. Considering traditional clustering algorithm has the problem of easily fall into local optimum, a modified PSO algorithm with crossover and mutation operators is combined with FCM algorithm. And a new fuzzy clustering algorithm (CMPSO-FCM) is proposed. The searching capability and clustering effectiveness are improved by this new algorithm. Then the fuzzy similar matrix, which is used for attribute reduction, is calculated by using fuzzy partition matrix and the definition of fuzzy similar measure after fuzzy clustering result is achieved. And a set of fuzzy rough decision rules are acquired by entropy method. Finally, a rough neural network is designed under these decision rules. Experiments results show that, compared with traditional rough neural network, this method has superiorities at the aspect of structure, classification precision and generalization.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
STEP-NC based machining sequencing using Genetic Algorithm 基于STEP-NC的遗传算法加工排序
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498177
Q. Shu, G. Gong, Jun Wang
{"title":"STEP-NC based machining sequencing using Genetic Algorithm","authors":"Q. Shu, G. Gong, Jun Wang","doi":"10.1109/CCDC.2010.5498177","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498177","url":null,"abstract":"To realize true integration between design and manufacturing via sharing product information among CAD/CAM/CNC chain, a new and comprehensive data model for NC programming formalized as in ISO14649 has been published by the International Organization of Standardization. ISO 14649, which is usually named STEP-NC, describes an interface between CAM and CNC to support a direct use of computer-generated product data based on the STEP standards. In this paper, we propose an efficient heuristic to solve the problem of machining sequence by extracting the information from the given STEP-NC file in order to optimize the process plan of the part. The proposed heuristic is a Genetic Algorithm (GA) with a special chromosome structure and a special coding scheme is proposed in the algorithmic design. An example with the proposed algorithm indicates that it is practical and easy to use.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115024836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Sausage appearance defect inspection system based on machine vision 基于机器视觉的香肠外观缺陷检测系统
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498789
Shuai Chen, Yue Ma, Haibo Shi
{"title":"Sausage appearance defect inspection system based on machine vision","authors":"Shuai Chen, Yue Ma, Haibo Shi","doi":"10.1109/CCDC.2010.5498789","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498789","url":null,"abstract":"A real-time sausage appearance defect inspection system is presented in this paper. The general hardware and software structure is presented and a model method for sausage defect detection is proposed. This inspection system gives consistent and repeatable satisfactory results under real industrial conditions with sufficient speed.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115181750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Development of 20 liter spherical explosion test apparatus based on LabVIEW and OPC technique 基于LabVIEW和OPC技术的20升球形爆炸试验装置的研制
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498365
Jian Wang, S. Zhong, Xinguang Li, Fuli Wang
{"title":"Development of 20 liter spherical explosion test apparatus based on LabVIEW and OPC technique","authors":"Jian Wang, S. Zhong, Xinguang Li, Fuli Wang","doi":"10.1109/CCDC.2010.5498365","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498365","url":null,"abstract":"A LabVIEW-based 20L spherical explosion test apparatus has been developed for determining explosion characteristics of combustible dusts and gases. The test system consists of 20L spherical explosion chamber and control and data acquisition (DAQ) system. The upper-level software for control and DAQ was mainly developed using LabVIEW. The control logic was realized by programmable logic controller (PLC) and a computer was connected with PLC by Ethernet. A pressure transducer and a DAQ card were used for high-speed DAQ of explosion pressure. The communication between LabVIEW application and hardware devices was realized by OPC (OLE for Process Control) technique. The developed test system has friendly graphical user interface, high-level automation and comprehensive function such as experimental process control, real-time data acquiring, data analysis, database management and report. The system was proved to be reliable and accurate in practical application.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115195654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A measuring model of airborne electromagnetic vector sensor array 机载电磁矢量传感器阵列测量模型
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498192
Tao Jun, T. Yantao, Tao Jianwu
{"title":"A measuring model of airborne electromagnetic vector sensor array","authors":"Tao Jun, T. Yantao, Tao Jianwu","doi":"10.1109/CCDC.2010.5498192","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498192","url":null,"abstract":"In the paper, the effect of airborne environment is analyzed to measuring model of electromagnetic vector sensor array and the measuring model of airborne electromagnetic vector sensor array is built based on the polarization of electromagnetic wave and response of electromagnetic vector sensor. The establishment of measuring model is theoretic base of application of airborne electromagnetic vector sensor array.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115209471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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