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浙江大学学报(工学版)
J4  2013, Vol. 47 Issue (5): 831-836    DOI: 10.3785/j.issn.1008-973X.2013.05.014
电气工程、电信技术     
基于互联网无刷直流电机传动系统的控制策略
黄晓烁,何衍,蒋静坪
浙江大学 电气工程学院,浙江 杭州 310027
Internet based control strategy for brushless DC motor drive systems    
HUANG Xiao-shuo,HE Yan,JIANG Jing-ping
College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China
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摘要：

为了方便处理网络控制系统中的时变延时问题,运用时间戳BP神经网络对每一采样周期的延时数据进行在线、实时预测,建立无刷直流电机网络控制系统的数学模型,导出系统离散状态方程,并基于时间乘误差绝对值积分最小(ITAE)优化控制策略提出初次优化设计方法；为了对无刷直流电机传动系统的量测噪声、突加负载扰动及模型随机干扰进行有效补偿和抑制,采用卡尔曼滤波进行状态估计,同时引入李雅普诺夫稳定性理论求取该系统最优状态反馈矩阵,实现网络控制系统的再次优化.仿真结果表明,该方法能够有效提高传动系统的静动态性能和抗干扰水平．
Abstract:

In order to conveniently process the time-varying delay of networked control system,time delay real-time online prediction by time-stamped BP neural network was applied in each sampling period. Mathematic model of the brushless DC motor drive system using networked control was obtained and discrete state equations of the system were derived. Based on integration of the production of time and absolute error (ITAE) rule an initial optimization design method was given；For the sake of compensation and suppression for the effects of measurement noise, load disturbance, and model perturbation,the state variables estimation by Kalman filter theory was applied and an optimal feedback control matrix based on Lyapunov stability theory was deduced for this system. Eventually, an additional optimization of networked control system was realized. Simulation demonstrates that the static performance,dynamic responses,and capacity of resisting disturbance of system can be obviously improved．
出版日期: 2013-05-01
:  TP 273  
基金资助:

 国家博士点学科专项科研基金资助项目（20030335002）；浙江省科技厅资助项目（2004C31084）.
通讯作者: 何衍，男，副教授.     E-mail: heyan@zju.edu.cn
作者简介: 黄晓烁（1979-），男，博士生，从事网络控制研究工作.E-mail:xiaoshuo.h@gmail.com
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引用本文:

黄晓烁,何衍,蒋静坪. 基于互联网无刷直流电机传动系统的控制策略[J]. J4, 2013, 47(5): 831-836.

HUANG Xiao-shuo,HE Yan,JIANG Jing-ping. Internet based control strategy for brushless DC motor drive systems    . J4, 2013, 47(5): 831-836.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2013.05.014    或    http://www.zjujournals.com/eng/CN/Y2013/V47/I5/831

［1］ BAILLIEUL J,ANTSAKLIS P J. Control and communication challenges in networked real-time systems ［J］. Proceedings of the IEEE,2007,95（1）：928．
［2］ ADLAKHA S,LALL S,GOLDSMITH A. Networked Markov decision processes with delays ［J］. IEEE Transactions on Automatic Control,2012,57（4）：1013-1018．
［3］ LIU Xin,XIA Yuan-qing. Improved networked predictive control with different transmission delays in both forward and feedback channels ［C］∥ Intelligent Control and Information Processing (ICICIP). Harbin:IEEE,2011:604-609．
［4］ NESIC D,TEEL A R. Input-output stability properties of networked control systems ［J］. IEEE Transactions on Automatic Control,2004,49（10）：1650-1667．
［5］ XIA Yuan-qing,XIE Wen,LIU Bo,et al. Data-based networked predictive control ［C］∥ Control Conference (CCC). Yantai:IEEE,2011:6510-6514．
［6］ LI Yuan,ZHANG Qing-ling,HU He-li. Stability and stabilization for time-varying networked control systems with partly unknown transition probabilities ［C］∥ Control Conference (CCC). Yantai:IEEE,2011:1269-1274．
［7］ YAO He-jun,YUAN Fu-shun. A new stabilization criterion for networked control systems with stochastic time delay and packet dropout ［C］∥ Artificial Intelligence,Management Science and Electronic Commerce (AIMSEC). Dengfeng:IEEE,2011:1825-1828．
［8］ LUAN Xiao-li,SHI Peng,LIU Fei. Stabilization of networked control systems with random delays ［J］. IEEE Transactions on Industrial Electronics,2011,58（9）：43234330．
［9］ 张琛,直流无刷电动机原理及应用［M］. 机械工业出版社,北京,1996,4．
［10］ 闫晓娟,刘景林,张金萍. 基于网络的嵌入式无刷直流电机调速系统的研究［J］. 测控技术,2009,10（28）：46-49．
YAN Xiao-juan,LIU Jing-lin,ZHANG Jin-ping. Design of the embedded BLDCM speed regulating system based on network control ［J］. Measurement & Control Technology,2009,10（28）：46-49．
［11］ VARUTTI P,FINDEISEN R. On the synchronization problem for the stabilization of networked control systems over nondeterministic networks ［C］∥ American Control Conference. St. Louis:IEEE,2009:2216-2221．
［12］ LIU Yi,SUN He-xu. Time-stamped multivariable generalized predictive control of network control systems ［C］∥ International Conference on Computer Design and Applications (ICCDA). Qinhuangdao:IEEE,2010:211-215．
［13］ HUANG Guang-bin,ZHU Qin-yu,ChEE-KHEONG SIEW. Real-time learning capability of neural networks ［J］. IEEE Transactions on Neural Networks,2006,17(4)：863-878．
［14］ 项国波. 时滞系统优化控制［M］. 北京：中国电力出版社,2008:125．
［15］ YANG Ye,WANG Yong-ji. Modeling and control for NCS with time-varying long delays ［C］∥ Machine Learning and Cybernetics. Guangzhou:IEEE,2005:1407-1411．
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