| 模糊神经网络在电阻炉温度控制系统中应用 |
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| 引用本文： | 赵进慧,李仲强.模糊神经网络在电阻炉温度控制系统中应用[J].辽宁工程技术大学学报(自然科学版),2005,24(Z2):135-137. |
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| 作者姓名： | 赵进慧 李仲强 |
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| 作者单位： | 辽宁工程技术大学,电气工程系,辽宁,阜新,123000 |
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| 摘 要： | 针对电阻炉具有时变,分布参数的非线性特性,将模糊神经网络控制应用于电阻炉温度控制系统.该控制器自适应能力强,利用系统偏差和神经网络辨识模型的输出对模糊神经网络控制器的参数通过一种改进的BP算法进行在线调节,达到对电阻炉温度的实时控制.仿真结果表明模糊神经网络控制器具有良好的控制效果,优于一般PID控制.
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| 关 键 词： | 电阻炉 模糊神经网络 系统辨识 温度控制 |
| 文章编号： | 1008-0562(2005)增刊-0135-03 |
| 修稿时间： | 2005年8月23日 |
Application of fuzzy neural network in resistance furnace temperature control system |
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| ZHAO Jin-hui,LI Zhong-qiang.Application of fuzzy neural network in resistance furnace temperature control system[J].Journal of Liaoning Technical University (Natural Science Edition),2005,24(Z2):135-137. |
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| Authors: | ZHAO Jin-hui LI Zhong-qiang |
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| Abstract: | Fuzzy neural network(FNN)control is applied in the resistance furnace temperature control system, based on the time-variable and distributed parameters nonlinear features of resistance furnace.This controller has the adaptive ability,uses the system error and the output of neural network identification(NNI)model to rectify the parameters of the fuzzy neural network controller(FNNC)on line through an improved BP algorithm,so that the temperature car be controlled in time.The results of simulation prove that the FNNC has good performances and the effect is better than that of PID control. |
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| Keywords: | resistance furnace FNN system Identification temperature control |
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