Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973671
N. Tsai, S. Hsu
The operation mode of the locomotive micro-devices is a combination of moving forwards, backwards, staying and rotation. In order to supply power by inductively wireless transmission to locomotive micro-devices, the micro-power receiver is often attached with the locomotive device. The distance and orientation between micro-power receiver and magnetic flux transmitter are changed as the locomotive micro-devices operate, rotate or move so that the power received by the micro-power receiver is varying. In this paper, the variable power control is applied on the magnetic flux transmitter to regulate the wireless received power at micro-power receiver. By Biot-Savart law and Faraday's law, the mathematical description from transmitter to micro-power receiver is constructed. By employing commercial software, Ansoft Maxwell, based on finite element method, the estimation error on power transmission by mathematical description is revealed. Besides, the design parameters of micro-receiver and transmitter are also examined for later-on fabrication and set-up. Finally, the test rig of variable power control is also established for performance verification.
{"title":"Power regulation applied for inductively wireless power transmission to locomotive micro-devices","authors":"N. Tsai, S. Hsu","doi":"10.1109/ICMIC.2011.5973671","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973671","url":null,"abstract":"The operation mode of the locomotive micro-devices is a combination of moving forwards, backwards, staying and rotation. In order to supply power by inductively wireless transmission to locomotive micro-devices, the micro-power receiver is often attached with the locomotive device. The distance and orientation between micro-power receiver and magnetic flux transmitter are changed as the locomotive micro-devices operate, rotate or move so that the power received by the micro-power receiver is varying. In this paper, the variable power control is applied on the magnetic flux transmitter to regulate the wireless received power at micro-power receiver. By Biot-Savart law and Faraday's law, the mathematical description from transmitter to micro-power receiver is constructed. By employing commercial software, Ansoft Maxwell, based on finite element method, the estimation error on power transmission by mathematical description is revealed. Besides, the design parameters of micro-receiver and transmitter are also examined for later-on fabrication and set-up. Finally, the test rig of variable power control is also established for performance verification.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122759047","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.2011.5973685
Hongliang Zhou, Zhiyuan Liu
Some vehicle yaw dynamics modelling methods are analyzed and a new control-oriented model is proposed in the paper. These vehicle yaw dynamics models are all obtained through simplifying vehicle original physical dynamics, and they all have strong and weak points. Considering vehicle yaw stability control problem, a new observer-based vehicle yaw dynamics modelling approach for controller design is proposed, which is nonlinear and strict-feedback. And these models are further evaluated in a nonlinear vehicle simulation software, and it is testified that the proposed model is proper for yaw stability controller design.
{"title":"Vehicle yaw dynamics modelling and analyzing for yaw stability control","authors":"Hongliang Zhou, Zhiyuan Liu","doi":"10.1109/ICMIC.2011.5973685","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973685","url":null,"abstract":"Some vehicle yaw dynamics modelling methods are analyzed and a new control-oriented model is proposed in the paper. These vehicle yaw dynamics models are all obtained through simplifying vehicle original physical dynamics, and they all have strong and weak points. Considering vehicle yaw stability control problem, a new observer-based vehicle yaw dynamics modelling approach for controller design is proposed, which is nonlinear and strict-feedback. And these models are further evaluated in a nonlinear vehicle simulation software, and it is testified that the proposed model is proper for yaw stability controller design.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122645370","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.2011.5973711
N. Dong, Derong Liu, Zengqiang Chen
A novel data based predictive control method is proposed by introducing the notion of neural network based predictive control to a model-free control method based on Simultaneous Perturbation Stochastic Approximation (SPSA). The controller is constructed through use of a Function Ap-proximator (FA), which is fixed as a neural network here. In the novel approach, the ability of the controller has been greatly improved. At last, the proposed novel control method is applied to solve nonlinear tracking problems. Simulation comparison tests were done on two typical non-linear plants, through which, the effectiveness of the novel data based predictive control method is fully illustrated.
{"title":"Data based predictive control using neural networks and stochastic approximation","authors":"N. Dong, Derong Liu, Zengqiang Chen","doi":"10.1109/ICMIC.2011.5973711","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973711","url":null,"abstract":"A novel data based predictive control method is proposed by introducing the notion of neural network based predictive control to a model-free control method based on Simultaneous Perturbation Stochastic Approximation (SPSA). The controller is constructed through use of a Function Ap-proximator (FA), which is fixed as a neural network here. In the novel approach, the ability of the controller has been greatly improved. At last, the proposed novel control method is applied to solve nonlinear tracking problems. Simulation comparison tests were done on two typical non-linear plants, through which, the effectiveness of the novel data based predictive control method is fully illustrated.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114615977","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.2011.5973769
Guotao Hui, Yisheng Liu, Yingchun Wang
This paper is concerned with stability and controller design of networked control systems (NCSs) with a compound Markovian transition probabilities. Firstly, a compound Markovian transition probabilities matrix is defined to described the work process of NCSs and co-decided by two independent work process: one is the packet dropouts process, which is defined as the sequence of the time intervals between consecutively successfully transmitted data; The other is the network-induced delay process, which is related to the delay of successfully transmitted data and based on a random division of intervals. Moreover, a new hybrid Markovian jump nonlinear systems (HMJNSs) model for NCSs is proposed. For handling the inter-sample behavior, which leads to nonlinear in model, anew norm bounded method is proposed. Furthermore, based on the such method and an operative mode dependent Lyapunov functional, sufficient conditions for mean square stability are derived in the form of linear matrix inequalities (LMIs) and corresponding control laws are given. Finally, numerical example illustrates the effectiveness of the results.
{"title":"Design for networked control systems with compound Markovian transition probabilities","authors":"Guotao Hui, Yisheng Liu, Yingchun Wang","doi":"10.1109/ICMIC.2011.5973769","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973769","url":null,"abstract":"This paper is concerned with stability and controller design of networked control systems (NCSs) with a compound Markovian transition probabilities. Firstly, a compound Markovian transition probabilities matrix is defined to described the work process of NCSs and co-decided by two independent work process: one is the packet dropouts process, which is defined as the sequence of the time intervals between consecutively successfully transmitted data; The other is the network-induced delay process, which is related to the delay of successfully transmitted data and based on a random division of intervals. Moreover, a new hybrid Markovian jump nonlinear systems (HMJNSs) model for NCSs is proposed. For handling the inter-sample behavior, which leads to nonlinear in model, anew norm bounded method is proposed. Furthermore, based on the such method and an operative mode dependent Lyapunov functional, sufficient conditions for mean square stability are derived in the form of linear matrix inequalities (LMIs) and corresponding control laws are given. Finally, numerical example illustrates the effectiveness of the results.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121804871","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.2011.5973729
Ling-Chang Meng, Fang Bin
In heat exchanger heat meter, the heat exchanger is equivalent to a flowmeter. The flow and heat can be calculated by measuring the inlet and outlet temperature of heat exchanger. It greatly prevents the flowmeter from the problem of inaccuracy and damage which are caused by the quality of water. However, due to the complexity of the heat exchanger model, it is difficult to get an expression between flow and temperature through analytic methods. This makes a great difficulty to design and optimize the structure of heat exchanger. To solve the problem above, we establish a three-dimensional model of heat exchanger by means of CFD numerical simulation software. By solving it in the parallel computing platform, we get the relationship between flow and temperature difference ratio, and optimize the structure of the heat exchanger by means of pattern search method. Simulation results show that after using this optimization method, the performance of heat exchanger has been effectively improved.
{"title":"The research of optimal design of heat exchanger in heat exchanger heat meter","authors":"Ling-Chang Meng, Fang Bin","doi":"10.1109/ICMIC.2011.5973729","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973729","url":null,"abstract":"In heat exchanger heat meter, the heat exchanger is equivalent to a flowmeter. The flow and heat can be calculated by measuring the inlet and outlet temperature of heat exchanger. It greatly prevents the flowmeter from the problem of inaccuracy and damage which are caused by the quality of water. However, due to the complexity of the heat exchanger model, it is difficult to get an expression between flow and temperature through analytic methods. This makes a great difficulty to design and optimize the structure of heat exchanger. To solve the problem above, we establish a three-dimensional model of heat exchanger by means of CFD numerical simulation software. By solving it in the parallel computing platform, we get the relationship between flow and temperature difference ratio, and optimize the structure of the heat exchanger by means of pattern search method. Simulation results show that after using this optimization method, the performance of heat exchanger has been effectively improved.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"555 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116369768","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.2011.5973694
Pengyuan Zheng, Dewei Li, Y. Xi
For a category of linear parameter varying (LPV) systems, i.e. LPV systems with both bounded rates of parameter variations and parameter measurement errors, the approach to design the feedback robust model predictive control (RMPC) is studied. The proposed controller utilizes the information on system parameters so as to improve the control performance, where the LPV system model is transferred into a sequence of future models with parameter-incremental uncertainty to include both the parameter variations and the parameter measurement. Then, a sequence of feedback control laws is designed to correspond to the sequence of future models. Since the information on system parameters is utilized and the control actions will vary corresponding to the future variations of system parameters, the better control performance can be achieved. The recursive feasibility and closed-loop stability of the proposed RMPC are also proven.
{"title":"Constrained feedback RMPC for a category of LPV systems","authors":"Pengyuan Zheng, Dewei Li, Y. Xi","doi":"10.1109/ICMIC.2011.5973694","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973694","url":null,"abstract":"For a category of linear parameter varying (LPV) systems, i.e. LPV systems with both bounded rates of parameter variations and parameter measurement errors, the approach to design the feedback robust model predictive control (RMPC) is studied. The proposed controller utilizes the information on system parameters so as to improve the control performance, where the LPV system model is transferred into a sequence of future models with parameter-incremental uncertainty to include both the parameter variations and the parameter measurement. Then, a sequence of feedback control laws is designed to correspond to the sequence of future models. Since the information on system parameters is utilized and the control actions will vary corresponding to the future variations of system parameters, the better control performance can be achieved. The recursive feasibility and closed-loop stability of the proposed RMPC are also proven.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126607224","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.2011.5973740
Yun Du, Hui-Qin Sun, Xueli Wu, Dong-hui Liu
DCS provides a powerful hardware and software platform for advanced control for its popularity and improvement. To take full advantage of DCS system, this paper proposes an adaptive fuzzy-neural controller considering of the characteristics of the complex industrial processes. It focuses on the hybrid learning algorithm of adaptive fuzzy and neural network. It uses the interface and programming language of DCS to study the advanced control, and comprises of artificial intelligence, expert system, and fuzzy neural network control. The effectiveness of the proposed scheme is illustrated through simulation and the practical usage of complex in resistance furnace temperature control system. It is proven its feasibility and achieves satisfactory control effect.
{"title":"Realization of adaptive fuzzy neural networks intelligence coordination control system on DCS","authors":"Yun Du, Hui-Qin Sun, Xueli Wu, Dong-hui Liu","doi":"10.1109/ICMIC.2011.5973740","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973740","url":null,"abstract":"DCS provides a powerful hardware and software platform for advanced control for its popularity and improvement. To take full advantage of DCS system, this paper proposes an adaptive fuzzy-neural controller considering of the characteristics of the complex industrial processes. It focuses on the hybrid learning algorithm of adaptive fuzzy and neural network. It uses the interface and programming language of DCS to study the advanced control, and comprises of artificial intelligence, expert system, and fuzzy neural network control. The effectiveness of the proposed scheme is illustrated through simulation and the practical usage of complex in resistance furnace temperature control system. It is proven its feasibility and achieves satisfactory control effect.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127259536","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.2011.5973750
Guanglei Zhao, Jingcheng Wang
The problem of robust peak-to-peak filtering for a class of stochastic systems with time delay and L∞ disturbance is investigated in this paper. The objective is to design a robust peak-to-peak filter such that the peak value of the estimation error is minimized for possible bounded disturbances. A delay-dependent sufficient condition is presented, which guarantees the mean-square exponential stability and a prescribed H∞ performance level. A desired filter can be constructed by the proposed approach. All conditions are given in the form of LMI which can be solved effectively. A numerical example is given to illustrate the effectiveness of the proposed method.
{"title":"Delay-dependent robust peak-to-peak filtering for stochastic systems with time-delay","authors":"Guanglei Zhao, Jingcheng Wang","doi":"10.1109/ICMIC.2011.5973750","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973750","url":null,"abstract":"The problem of robust peak-to-peak filtering for a class of stochastic systems with time delay and L∞ disturbance is investigated in this paper. The objective is to design a robust peak-to-peak filter such that the peak value of the estimation error is minimized for possible bounded disturbances. A delay-dependent sufficient condition is presented, which guarantees the mean-square exponential stability and a prescribed H∞ performance level. A desired filter can be constructed by the proposed approach. All conditions are given in the form of LMI which can be solved effectively. A numerical example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125181474","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.2011.5973747
Ruimin Bao, Lanjuan Zhu
In parallel with the quick expansion of embedded devices come the rapid growth of embedded software. The commonly used software developing methods can't meet the fast growing demands of variable software when concerning user experience, cross-platforms, upgrade, hardware resources, etc. This paper proposes a new embedded software developing architecture based on the neural network organization and component principles. With the advantages of the network's dynamic weight adjusting and flexible self-learning structure, the approach can not only enable the software better adapt to the users' attributes, but also make the software be easily to extend and upgrade.
{"title":"Neural network based approach for developing embedded software","authors":"Ruimin Bao, Lanjuan Zhu","doi":"10.1109/ICMIC.2011.5973747","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973747","url":null,"abstract":"In parallel with the quick expansion of embedded devices come the rapid growth of embedded software. The commonly used software developing methods can't meet the fast growing demands of variable software when concerning user experience, cross-platforms, upgrade, hardware resources, etc. This paper proposes a new embedded software developing architecture based on the neural network organization and component principles. With the advantages of the network's dynamic weight adjusting and flexible self-learning structure, the approach can not only enable the software better adapt to the users' attributes, but also make the software be easily to extend and upgrade.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126949966","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.2011.5973765
Wu Ai-ping, Wang Tian, Zhang Lin, Wang Da-quan, Zhou Qi-li, Wu Xiao-kai
Wireless multimedia quality of service (QoS) support the basic objective is that in the bandwidth limited circumstances, provision and users pay a considerable quality of service. To establish the right business model is the first problem to be solved. The so-called business model, that is, according to the characteristics of a variety of specific applications, can be divided into different types. For example, in support of QoS and the ATM is defined in several business models. Constant bit rate services, the bandwidth requirements of the most stringent requirements of other types of bandwidth in turn to relax.
{"title":"Cloud: Robust and anti-block game and delay-sensitive wireless networks","authors":"Wu Ai-ping, Wang Tian, Zhang Lin, Wang Da-quan, Zhou Qi-li, Wu Xiao-kai","doi":"10.1109/ICMIC.2011.5973765","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973765","url":null,"abstract":"Wireless multimedia quality of service (QoS) support the basic objective is that in the bandwidth limited circumstances, provision and users pay a considerable quality of service. To establish the right business model is the first problem to be solved. The so-called business model, that is, according to the characteristics of a variety of specific applications, can be divided into different types. For example, in support of QoS and the ATM is defined in several business models. Constant bit rate services, the bandwidth requirements of the most stringent requirements of other types of bandwidth in turn to relax.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130283294","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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