Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973677
Nan Pan, Xing Wu, Y. Chi, Xiao-qin Liu, Chang Liu
On the basis of introducing the model of Frequency-Domain Blind Deconvolution (FDBD), key techniques in mechanical signal extraction were comprehensively related and analyzed in this paper, which include the methods of suppressing the difference between circular and partial convolution by coordinating the relationship between FFT size and length of each frequency bin or Modified Discrete Fourier Transform, the methods of removing the permutation indeterminacy (methods based on consistency of filter coefficients, DOA methods, Split Spectrum methods, methods based on Nonlinear Function, etc.), the applications of Complex-Domain Blind Separation Algorithms which based on explicit tensor eigenvalue decomposition and nonlinear functions. Aimed at vibration and acoustic signal feature extraction in complex environment and equipment with complex mechanical structures, the application values of FDBD and its research status in machinery condition monitoring and fault diagnosis were reviewed and summarized. Finally, the main problems which need to be studied further in this area were pointed out.
{"title":"Machine fault diagnosis based on Frequency-Domain Blind Deconvolution","authors":"Nan Pan, Xing Wu, Y. Chi, Xiao-qin Liu, Chang Liu","doi":"10.1109/ICMIC.2011.5973677","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973677","url":null,"abstract":"On the basis of introducing the model of Frequency-Domain Blind Deconvolution (FDBD), key techniques in mechanical signal extraction were comprehensively related and analyzed in this paper, which include the methods of suppressing the difference between circular and partial convolution by coordinating the relationship between FFT size and length of each frequency bin or Modified Discrete Fourier Transform, the methods of removing the permutation indeterminacy (methods based on consistency of filter coefficients, DOA methods, Split Spectrum methods, methods based on Nonlinear Function, etc.), the applications of Complex-Domain Blind Separation Algorithms which based on explicit tensor eigenvalue decomposition and nonlinear functions. Aimed at vibration and acoustic signal feature extraction in complex environment and equipment with complex mechanical structures, the application values of FDBD and its research status in machinery condition monitoring and fault diagnosis were reviewed and summarized. Finally, the main problems which need to be studied further in this area were pointed out.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125221749","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}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973758
L. Yao, Hong-Kang Wen
An Adaptive Fuzzy PID Controller with Genetic Algorithm (GA) to tune its parameters is proposed in this paper. The task of the controller is to track the trajectory of a nonlinear system as best as it could. The Lyapunov's direct method is used as a tool for nonlinear system analysis and design. In which, the Lyapunov's linearization method is proven here to be useful for linear control. The paper relies on linearization method and the direct method to formulate its stability theory. The controller has two states, a learning state and a controlling state where GA performs on-line tuning of the controller's parameters. The GA method has the effect of tuning PID parameters to meet operation time constraint and system performance. In the controlling state, there are a supervisory controller designed to ensure system stability and a compensator appended to compensate for modeling error and disturbance. Overall performance of the controller is not compromised by the fact that it has only three parameters to work with.
{"title":"An observer based adaptive PID controller","authors":"L. Yao, Hong-Kang Wen","doi":"10.1109/ICMIC.2011.5973758","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973758","url":null,"abstract":"An Adaptive Fuzzy PID Controller with Genetic Algorithm (GA) to tune its parameters is proposed in this paper. The task of the controller is to track the trajectory of a nonlinear system as best as it could. The Lyapunov's direct method is used as a tool for nonlinear system analysis and design. In which, the Lyapunov's linearization method is proven here to be useful for linear control. The paper relies on linearization method and the direct method to formulate its stability theory. The controller has two states, a learning state and a controlling state where GA performs on-line tuning of the controller's parameters. The GA method has the effect of tuning PID parameters to meet operation time constraint and system performance. In the controlling state, there are a supervisory controller designed to ensure system stability and a compensator appended to compensate for modeling error and disturbance. Overall performance of the controller is not compromised by the fact that it has only three parameters to work with.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127538206","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}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973749
Peng-fei Wang, Ning Li, Shaoyuan Li
In this paper, a modified interval type-2 fuzzy T-S modeling method is applied to a heat exchange process on the equipment CE117 Process Trainer. First, subtractive clustering method combined with least square method is employed to build the type-1 fuzzy T-S model. Then the type-2 fuzzy T-S model is obtained from the type-1 model through unconstrained optimization where the Nelder-Mead Simplex method is utilized. Finally, the results of the experiment prove the efficiency of the proposed algorithm.
{"title":"Interval type-2 fuzzy T-S modeling for a heat exchange process on CE117 Process Trainer","authors":"Peng-fei Wang, Ning Li, Shaoyuan Li","doi":"10.1109/ICMIC.2011.5973749","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973749","url":null,"abstract":"In this paper, a modified interval type-2 fuzzy T-S modeling method is applied to a heat exchange process on the equipment CE117 Process Trainer. First, subtractive clustering method combined with least square method is employed to build the type-1 fuzzy T-S model. Then the type-2 fuzzy T-S model is obtained from the type-1 model through unconstrained optimization where the Nelder-Mead Simplex method is utilized. Finally, the results of the experiment prove the efficiency of the proposed algorithm.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124729900","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}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973726
Zhiyuan Liu, Guowei Fan, Hong Chen
This paper focuses on the hybrid control approach to the idle speed control problem in automotive engine. A linear hybrid model with uncertainties in idle mode is used, and the uncertain linear switching systems with minimum and maximum dwell times is associated to approximate the hybrid model. After considering the idle speed control problem as the safety problem for the uncertain linear switching systems, the hybrid controller synthesis method is given. Finally, some simulation results of idle speed control show the efficiency of the proposed technology.
{"title":"Idle speed control of a 4-cylinder automotive engine using hybrid system method","authors":"Zhiyuan Liu, Guowei Fan, Hong Chen","doi":"10.1109/ICMIC.2011.5973726","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973726","url":null,"abstract":"This paper focuses on the hybrid control approach to the idle speed control problem in automotive engine. A linear hybrid model with uncertainties in idle mode is used, and the uncertain linear switching systems with minimum and maximum dwell times is associated to approximate the hybrid model. After considering the idle speed control problem as the safety problem for the uncertain linear switching systems, the hybrid controller synthesis method is given. Finally, some simulation results of idle speed control show the efficiency of the proposed technology.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125384955","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}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973705
Ning-ning Shang, Qingxian Xiao
The bivariate normal mixture GARCH model is introduced in this paper, and applied to research the dynamic volatility features and the time-varying correlation structure of Shanghai Composite Index and Shenzhen Component Index in Chinese stock markets. Empirical results demonstrate that the bivariate normal mixture GARCH model outperforms other competing GARCH models, in terms of explaining the properties of volatility process and the relation of two markets, which reflects the superiority of the bivariate normal mixture GARCH model. Besides, generalized likelihood ratio test is also used to support this conclusion through making a likelihood ratio statistic.
{"title":"Bivariate normal mixture GARCH model: An application to Chinese stock markets","authors":"Ning-ning Shang, Qingxian Xiao","doi":"10.1109/ICMIC.2011.5973705","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973705","url":null,"abstract":"The bivariate normal mixture GARCH model is introduced in this paper, and applied to research the dynamic volatility features and the time-varying correlation structure of Shanghai Composite Index and Shenzhen Component Index in Chinese stock markets. Empirical results demonstrate that the bivariate normal mixture GARCH model outperforms other competing GARCH models, in terms of explaining the properties of volatility process and the relation of two markets, which reflects the superiority of the bivariate normal mixture GARCH model. Besides, generalized likelihood ratio test is also used to support this conclusion through making a likelihood ratio statistic.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122436806","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}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973759
L. Yao, J. Jiang
An online tuning observer based adaptive fuzzy controller with modulated membership function (OAFCMMF) for uncertain nonlinear systems is proposed in this paper. By including micro-genetic algorithm (MGA), the width of the membership functions is modulated based on fuzzy orthogonal condition. The proposed fuzzy controller can online adjust not only weighting factors in the consequence part but also the membership functions in the antecedent part. Computation time is shortened to improve controller performance. Moreover, we use fitness function for online tuning the parameter vector of the fuzzy controller. The fitness function is based on stability criterion established by Lyapunov method. For meeting stability condition, a supervisory controller is implemented in a closed-loop nonlinear system to smoothen controller operation.
{"title":"Design of adaptive fuzzy controller with observer using modulated membership functions","authors":"L. Yao, J. Jiang","doi":"10.1109/ICMIC.2011.5973759","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973759","url":null,"abstract":"An online tuning observer based adaptive fuzzy controller with modulated membership function (OAFCMMF) for uncertain nonlinear systems is proposed in this paper. By including micro-genetic algorithm (MGA), the width of the membership functions is modulated based on fuzzy orthogonal condition. The proposed fuzzy controller can online adjust not only weighting factors in the consequence part but also the membership functions in the antecedent part. Computation time is shortened to improve controller performance. Moreover, we use fitness function for online tuning the parameter vector of the fuzzy controller. The fitness function is based on stability criterion established by Lyapunov method. For meeting stability condition, a supervisory controller is implemented in a closed-loop nonlinear system to smoothen controller operation.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129589075","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}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973757
Xiaobang Liu, Shao-cheng Qu, Yuewei Che
This paper introduces the design of an intelligent tracking and drawing system based on the Freescale MCU MC9S12DG128. By using infrared photoelectric sensors, system can detect real-time route information. Then system steering angle and running speed can be effectively adjusted by combination of proportional control and fuzzy control methods, which realizes the dynamical control of the whole system. Based on the communication between PC and RF wireless modules, remote control is effectively realized and accurate drawing is obtained. Finally, experiment results are given to show the effectiveness of the proposed system.
{"title":"Design of an intelligent tracking system based on fuzzy controller","authors":"Xiaobang Liu, Shao-cheng Qu, Yuewei Che","doi":"10.1109/ICMIC.2011.5973757","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973757","url":null,"abstract":"This paper introduces the design of an intelligent tracking and drawing system based on the Freescale MCU MC9S12DG128. By using infrared photoelectric sensors, system can detect real-time route information. Then system steering angle and running speed can be effectively adjusted by combination of proportional control and fuzzy control methods, which realizes the dynamical control of the whole system. Based on the communication between PC and RF wireless modules, remote control is effectively realized and accurate drawing is obtained. Finally, experiment results are given to show the effectiveness of the proposed system.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126311410","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}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973728
L. Yao, Yueying Chen, Li Shi
A new active fault-tolerant control scheme is presented for a nonlinear collaborative system which contains two subsystems. The scheme is to use the fault-free subsystem to compensate the fault influence of the faulty subsystem on the whole system. When one faulty subsystem could not repair its own fault to the influence on the whole system, the controller of the fault-free subsystem is reconfigured using the fault diagnosis information, leading to the fault tolerant control of the nonlinear collaborative system. Simulations of the control for a robot collaborative system show the effectiveness of the proposed scheme.
{"title":"A new fault-tolerant control scheme for a robot collaborative system","authors":"L. Yao, Yueying Chen, Li Shi","doi":"10.1109/ICMIC.2011.5973728","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973728","url":null,"abstract":"A new active fault-tolerant control scheme is presented for a nonlinear collaborative system which contains two subsystems. The scheme is to use the fault-free subsystem to compensate the fault influence of the faulty subsystem on the whole system. When one faulty subsystem could not repair its own fault to the influence on the whole system, the controller of the fault-free subsystem is reconfigured using the fault diagnosis information, leading to the fault tolerant control of the nonlinear collaborative system. Simulations of the control for a robot collaborative system show the effectiveness of the proposed scheme.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132021724","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}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973715
Li Wang, Zhiqiu Lei, Shao-cheng Qu
An empirical analysis of the login information of fitness club membership in foreground system is implemented, which show that the interval time distribution of their logins present obvious Power-law properties whether all members, groups or individuals. Moreover, the scaling indexes of groups are different and linked with their level of activity. In addition, power exponents are obvious different in cumulative probability distribution and non-cumulative probability distribution, and the former is generally less than the latter. Finally, studies on a certain time and a specified object also reveal that the statistical characteristics of the same community should not be affected by the length of time.
{"title":"The statistical study of human behavior in exercise mode","authors":"Li Wang, Zhiqiu Lei, Shao-cheng Qu","doi":"10.1109/ICMIC.2011.5973715","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973715","url":null,"abstract":"An empirical analysis of the login information of fitness club membership in foreground system is implemented, which show that the interval time distribution of their logins present obvious Power-law properties whether all members, groups or individuals. Moreover, the scaling indexes of groups are different and linked with their level of activity. In addition, power exponents are obvious different in cumulative probability distribution and non-cumulative probability distribution, and the former is generally less than the latter. Finally, studies on a certain time and a specified object also reveal that the statistical characteristics of the same community should not be affected by the length of time.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133676086","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}
A rolling method of gas emission based on RBF neural networks is improved. In this method, a part of fixed-length data is selected for the prediction, new data are added continuously to the input sequence, and old data are removed, thereby developing the rolling prediction model. The diversified factors of gas emission analyzed have grey correlation. As a result, the model designed using this method can generalize well. The simulation results also show that the improved rolling prediction model applied in gas emission prediction has reliable accuracy and a good convergence rate.
{"title":"A prediction method for gas emission based on RBF with grey correlation analysis","authors":"Yumin Pan, Hongmei Ma, Quanzhu Zhang, Pengqian Xue","doi":"10.1109/ICMIC.2011.5973692","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973692","url":null,"abstract":"A rolling method of gas emission based on RBF neural networks is improved. In this method, a part of fixed-length data is selected for the prediction, new data are added continuously to the input sequence, and old data are removed, thereby developing the rolling prediction model. The diversified factors of gas emission analyzed have grey correlation. As a result, the model designed using this method can generalize well. The simulation results also show that the improved rolling prediction model applied in gas emission prediction has reliable accuracy and a good convergence rate.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126871903","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}
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