| RBF网络自整定PID控制在网络化控制系统中的应用 |
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| 引用本文： | 葛锁良,杨旭玮,张亚东. RBF网络自整定PID控制在网络化控制系统中的应用[J]. 合肥工业大学学报(自然科学版), 2011, 0(10): 1489-1491,1550 |
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| 作者姓名： | 葛锁良 杨旭玮 张亚东 |
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| 作者单位： | 合肥工业大学电气与自动化工程学院; |
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| 摘 要： | 文章针对网络化控制系统普遍存在的时延问题,介绍了一种基于径向基函数神经网络自整定PID的控制策略.在Matlab/Simulink环境下搭建了基于TrueTime工具箱的网络控制系统的仿真平台.仿真结果表明:与常规PID控制相比,神经网络自整定PID控制算法可有效地提高系统的鲁棒性和自适应性,且此方法易于实现,便于工程...
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| 关 键 词： | RBF神经网络 网络化控制系统 网络诱导时延 |
Application of RBF neural network self-tuning PID control in network control system |
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| GE Suo-liang,YANG Xu-wei,ZHANG Ya-dong. Application of RBF neural network self-tuning PID control in network control system[J]. Journal of Hefei University of Technology(Natural Science), 2011, 0(10): 1489-1491,1550 |
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| Authors: | GE Suo-liang YANG Xu-wei ZHANG Ya-dong |
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| Affiliation: | GE Suo-liang,YANG Xu-wei,ZHANG Ya-dong(School of Electric Engineering and Automation,Hefei University of Technology,Hefei 230009,China) |
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| Abstract: | Aiming at the universal problem of time delay in network control system(NCS),a control strategy based on radial basis function(RBF) neural network self-tuning PID is provided.A simulation model of NCS is established under the environment of TrueTime toolbox based Matlab/Simulink.The simulation results indicate that compared with the traditional PID control,the RBF neural network self-tuning PID control can effectively improve the robustness and self-adaptability of the system,and can be applied to real proj... |
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| Keywords: | radial basis function(RBF) neural network network control system(NCS) network-induced delay |
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