| 模糊RBF神经网络在纯滞后系统中的应用 |
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| 引用本文： | 马军爽,郭耀华,王维.模糊RBF神经网络在纯滞后系统中的应用[J].唐山学院学报,2007,20(4):7-89,100. |
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| 作者姓名： | 马军爽 郭耀华 王维 |
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| 作者单位： | 唐山学院,信息工程系,河北,唐山,063000 |
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| 摘 要： | 在工业过程控制系统中,许多被控对象具有纯滞后的性质,这种纯滞后环节将导致系统不稳定。针对这种情况设计了一种控制器,这种控制器结合了模糊控制和神经网络控制的优点,可以在线调整得到一组最优的PID控制参数。仿真结果表明这种控制器结构简单,对纯滞后系统的控制效果良好。
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| 关 键 词： | 纯滞后 模糊神经网络 PID控制 参数调整 |
| 文章编号： | 1672-349X（2007）04-0087-03 |
| 修稿时间： | 2007-04-11 |
RBF Fuzzy Neural Network in Time-delay Control System |
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| MA Jun-shuang,GUO Yao-hua,WANG wei.RBF Fuzzy Neural Network in Time-delay Control System[J].Journal of Tangshan College,2007,20(4):7-89,100. |
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| Authors: | MA Jun-shuang GUO Yao-hua WANG wei |
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| Institution: | Department of Information Engineering, Tangshan College, Tangshan 063000, China |
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| Abstract: | Many objects have the time-delay feature which will lead the instability of the system in industrial control process.The paper presents a PID controller which has integrated the advantages of traditional PID,neural network control and fuzzy control and can get the best PID parameters by on-line self-adjustment.Simulation results indicate that this controller not only has a simple structure,but also can improve the control effect greatly. |
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| Keywords: | time-delay FNN PID control parameter adjustment |
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