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2010 8th World Congress on Intelligent Control and Automation最新文献

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Using SDE to achieve the stable and statistical analyses for TCP/RED flows 使用SDE实现对TCP/RED流的稳定和统计分析
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5553871
Hua Fan, X. Shan
{"title":"Using SDE to achieve the stable and statistical analyses for TCP/RED flows","authors":"Hua Fan, X. Shan","doi":"10.1109/WCICA.2010.5553871","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5553871","url":null,"abstract":"In this paper, we show how to make a complete analysis of the performance of TCP/RED (Transmission Control Protocol / Random Early Detection) flows in a single bottleneck network with Stochastic Differential Equation (SDE). We start from deducing the SDE for the aggregate TCP flow. Using this SDE model, we calculate the exact stable range of the TCP connection number and the variance of the queue length in router under a configured RED algorithm. Our deductive results are explicit formulas which are shown to be consistent with our simulations. We use TCP/RED as an example of the application of SDE method here, but such SDE method can be applied to many other protocols as well.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126389733","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
Dynamic optimization of PID control parameters of complex magnetic suspension electromechanical coupling system 复杂磁悬浮机电耦合系统PID控制参数的动态优化
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5553810
Fangzhen Song, Hui Liu, Bo Song, Huimin Feng
{"title":"Dynamic optimization of PID control parameters of complex magnetic suspension electromechanical coupling system","authors":"Fangzhen Song, Hui Liu, Bo Song, Huimin Feng","doi":"10.1109/WCICA.2010.5553810","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5553810","url":null,"abstract":"In order to improve the machining precision of the magnetic suspension spindle which is usually installed on machine tool or other elastic structures, and to minimize the effects of machine vibration, the complex magnetic suspension electromechanical coupling system was studied. The design variables, objective functions and constraint condition of coupling system were determined. The optimized program was worked out based on genetic algorithm in VC 6.0 environment and the optimum PID control parameters satisfying static and dynamic machining precision of the magnetic suspension spindle were obtained. The unit sinusoidal response, dynamic flexibility and static flexibility of the coupling system were analyzed. The analysis results show that the dynamic and static characters of the coupling system after optimization have been raised obviously than that before optimization. The adverse effect brought by machine vibration could be reduced by optimizing the PID control parameters of complex magnetic suspension electromechanical coupling system, and the machining precision of the magnetic suspension spindle unit can be improved.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126397899","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: 9
Research on robust decentralized connective stabilization control for power systems expanded capacity on line 电力系统在线扩容鲁棒分散连接镇定控制研究
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5554779
Li Xiaohua, Wu Wenbo
{"title":"Research on robust decentralized connective stabilization control for power systems expanded capacity on line","authors":"Li Xiaohua, Wu Wenbo","doi":"10.1109/WCICA.2010.5554779","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5554779","url":null,"abstract":"To counter the on-line control problem when the capacity of power systems is expanded, the robust decentralized connective stabilization control method is studied for a class of interconnected power systems in which the new subsystems are added to one after another on line in this paper. The problem is how to design the local control law of the new subsystem based on not changing the decentralized control laws of original power system, so that both the subsystem and the resultant expanded power system are connective stable. The sufficient condition of the robust decentralized connective stabilization for the expanding construction of the interconnected power systems is obtained by taking Lyapunov theory and LMI approach. The design Method of the robust decentralized connective stabilization controller of the new subsystem is given. The control simulation results for the interconnected power system modol with expanding construction show the effectiveness of presented method.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126415176","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: 7
Neural network based decoupling control of lifting of 7500t floating crane vessel 基于神经网络的7500t浮式起重船起升解耦控制
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5554949
Weifeng Shi, Zuohan Zhou, Zhenhua Shi, Liufeng Shen
{"title":"Neural network based decoupling control of lifting of 7500t floating crane vessel","authors":"Weifeng Shi, Zuohan Zhou, Zhenhua Shi, Liufeng Shen","doi":"10.1109/WCICA.2010.5554949","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5554949","url":null,"abstract":"According to characteristics of nonlinear and strong coupling between rolling and luffing of 7500 Ton crane arm with vessel stability in lifting process, we built a mathematical model of movement stance of crane vessel lifting process and brought forward a neural network decoupling control strategy. The control method was applied to solve the coupling problem between rolling and luffing for the crane lifting of the vessel. The executive motors of crane vessel work stably under the control. The space position of heavy load can be controlled stably in lifting process because of good control stability of motor. The control is also well effect for vessel stability. The control aim is used for safety and reliability of crane vessel operation. Simulation results indicate that there is good stability of dynamic decoupling between rolling and luffing of crane vessel.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126543240","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
A robust compound controller for electric-driven simulation turntable 电驱动仿真转台的鲁棒复合控制器
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5554433
Hang Zhang, G. Xi
{"title":"A robust compound controller for electric-driven simulation turntable","authors":"Hang Zhang, G. Xi","doi":"10.1109/WCICA.2010.5554433","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5554433","url":null,"abstract":"How to deal with the uncertainties which exist in servo control system in a specified turntable is discussed in this paper. A robust compound controller is designed based on H∞ control theory. At the same time, a detail scheme using this controller for the servo control is given and the final experimental results meet the request of the system performance and verify the applicability and effectiveness of the developed method.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128107856","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
Ship roll stabilization using supervision control based on inverse model wavelet neural network 基于逆模型小波神经网络的船舶横摇镇定监督控制
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5554721
Hui Li, Chen Guo, Xiaofang Li
{"title":"Ship roll stabilization using supervision control based on inverse model wavelet neural network","authors":"Hui Li, Chen Guo, Xiaofang Li","doi":"10.1109/WCICA.2010.5554721","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5554721","url":null,"abstract":"An intelligent supervision control for ship roll motion stabilization is presented in this paper. The control system consists of a linear PID controller based on ship fin stabilizer three parameters, an inverse model wavelet neural network (IMWNN) controller and a wavelet neural network identification (WNNI). The linear PID controller is adopted to carry out feedback control. The WNNI is used to learn the dynamics characteristics of the nonlinear system, and obtain a fast dynamics internal model. The IMWNN controller is employed to implement intelligent supervision control, and obtain the inverse dynamics model of the process. In simulation, the roll mode input-output signals to train the wavelet neural network off-line are obtained by introducing PRBS sequence. The simulation results illustrate the efficiency of the proposed method, and prove that the intelligent supervision control can make sure the stability and robustness of control system and effectively improve the system adaptive ability. This method can also be used in other complexity, non-linearity system control.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128170417","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: 7
Low-thrust orbit transfers based on the combination of the refined Q-law and fuzzy logic control 基于改进q律与模糊逻辑控制相结合的小推力轨道转移
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5554113
Q. Hou, Yuehua Cheng, N. Lu, B. Jiang
{"title":"Low-thrust orbit transfers based on the combination of the refined Q-law and fuzzy logic control","authors":"Q. Hou, Yuehua Cheng, N. Lu, B. Jiang","doi":"10.1109/WCICA.2010.5554113","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5554113","url":null,"abstract":"Q-law has been studied a lot as an approach to transfer orbits. This paper presents a refined Q-law method integrated with fuzzy logic control for the satellite orbit transfers between arbitrary orbits around a central body. Q-law is adopted to decide thrust angles and determine whether to thrust or to coast. Furthermore, in order to eliminate vibrations, a fuzzy controller is constructed to change the magnitude of the thrust. The proposed scheme is applied to study a transfer from low Earth orbit to geostationary orbit. A comparison with the existing Q-law scheme is implemented on a satellite via numerical simulation. The results show that the proposed strategy can not only eliminate vibrations but also decrease trajectory errors.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125467193","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
Internal model control for hysteretic nonlinear systems based on support vector regression 基于支持向量回归的滞回非线性系统内模控制
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5554478
Wenguang Zhang, J. Mao, Yanhua Ma
{"title":"Internal model control for hysteretic nonlinear systems based on support vector regression","authors":"Wenguang Zhang, J. Mao, Yanhua Ma","doi":"10.1109/WCICA.2010.5554478","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5554478","url":null,"abstract":"Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125664160","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
L2 gain disturbance attenuation of PMSM based on Hamiltonian systems control theory 基于哈密顿系统控制理论的永磁同步电机L2增益干扰衰减
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5554470
Haisheng Yu, Shanshan Yu, Jin Liu, Jinpeng Yu
{"title":"L2 gain disturbance attenuation of PMSM based on Hamiltonian systems control theory","authors":"Haisheng Yu, Shanshan Yu, Jin Liu, Jinpeng Yu","doi":"10.1109/WCICA.2010.5554470","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5554470","url":null,"abstract":"A novel L2 gain disturbance attenuation control algorithm is presented for permanent magnet synchronous motor (PMSM) based on port-controlled Hamiltonian (PCH) systems theory. First of all, a PCH system model of PMSM is established. Then, using the interconnection and damping assignment method, the PCH controller of the PMSM system is designed when the load torque is known. According to the maximum torque per ampere (MTPA) control rule, the desired equilibrium of the system is obtained. The L2 gain load torque disturbance attenuation technology is applied to the PCH control of PMSM system. Finally, in order to track the changes of the load torque better and eliminate speed steady error, the load torque observer is given. The simulation results show that the proposed scheme has a good performance and practical application prospects.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125793585","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
Iterative learning control in large scale HVAC system 大型暖通空调系统的迭代学习控制
2010 8th World Congress on Intelligent Control and Automation Pub Date : 2010-07-07 DOI: 10.1109/WCICA.2010.5554580
Xiuying Yan, Qingchang Ren, Qinglong Meng
{"title":"Iterative learning control in large scale HVAC system","authors":"Xiuying Yan, Qingchang Ren, Qinglong Meng","doi":"10.1109/WCICA.2010.5554580","DOIUrl":"https://doi.org/10.1109/WCICA.2010.5554580","url":null,"abstract":"Heating, ventilating and air-conditioning (HVAC) system is a multi-variable, strongly coupled, nonlinear, time variant, large time delay and large-scale system composed of several subsystems. In order to save energy, all the subsystems should work coordinately in different working points to meet the people's comfortable requirement. In HVAC control systems, system optimal control inputs or optimal operating points, which can be acquired through supervisory and optimal control, can ensure minimum energy cost and satisfy indoor comfort and air quality, taking into account the ever-changing indoor and outdoor conditions as well as the characteristics of HVAC systems. A variable air volume (VAV) variable water volume (VWV) air-conditioning system is wholly analyzed with large-scale system theory based on “decomposition and coordination” strategy. Iterative learning control (ILC) strategy is introduced first into a large-scale HVAC system, and the effectiveness of the ILC strategy is demonstrated through a case study. Results show that as the number of iteration increases, the system tracking error over the entire operation will decrease and eventually vanish. This means that the good performance of subsystems can be maintained under the ILC strategy when the working points change with the dynamic load.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121930023","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: 12
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