| 基于特征模型和模糊动态特征模型自适应控制方法的网络控制系统 |
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| 引用本文： | 邓建球,李海军,胡松,罗熊.基于特征模型和模糊动态特征模型自适应控制方法的网络控制系统[J].北京科技大学学报,2012(1):1-5. |
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| 作者姓名： | 邓建球 李海军 胡松 罗熊 |
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| 作者单位： | 清华大学计算机科学与技术系;海军航空工程学院;北京科技大学计算机与通信工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(61004021;61074066;61174103);中央高校基本科研业务费专项资金资助项目(FRF--TP--11--002B) |
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| 摘 要： | 针对网络控制系统模型参数选取困难的问题,利用特征模型和动态特征模型的自适应控制方法在实际工程中建模简单、控制精度较高的特点,以直流电机的网络控制系统为例,研究了具有时延和数据丢包网络情况下的网络控制系统,提出了基于特征模型的自适应控制方法和基于模糊动态特征模型的自适应控制方法.仿真结果表明:丢包率对特征模型控制器系统的影响较大,而网络延时对模糊动态特征模型控制器系统影响较大.所提两种方法均可有效保证网络控制系统的控制性能.
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| 关 键 词： | 网络控制系统 自适应控制 特征模型 模糊控制 直流电机 |
Networked control systems based on the adaptive control methods of characteristic modeling and fuzzy dynamic characteristic modeling |
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| DENG Jian-qiu,LI Hai-jun,HU Song,LUO Xiong.Networked control systems based on the adaptive control methods of characteristic modeling and fuzzy dynamic characteristic modeling[J].Journal of University of Science and Technology Beijing,2012(1):1-5. |
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| Authors: | DENG Jian-qiu LI Hai-jun HU Song LUO Xiong |
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| Institution: | 1) Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China 2) Naval Aeronautical Engineering Institute,Yantai 264001,China 3) School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China |
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| Abstract: | It is very difficult to select appropriate networked control system parameters.The adaptive control methods of fuzzy dynamic characteristic modeling and characteristic modeling are easy to be used in engineering field,and they can ensure high precision control according to practical demands.The networked control performances of a DC motor control system with different time delays and packet drop ratios were researched,and the adaptive control methods based on characteristic modeling and fuzzy dynamic characteristic modeling were proposed for the control system.Simulation results show that packet drop ratio has a greater influence on the networked control system with characteristic modeling but time delay has a greater influence on the networked control system with fuzzy dynamic characteristic modeling.The proposed methods are effective to the networked control system with time delay and packet drop ratio. |
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| Keywords: | networked control systems(NCSs) adaptive control characteristic modeling fuzzy control DC motors |
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