| 基于Smith预估补偿与RBF神经网络的改进PID控制 |
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| 引用本文： | 王宝忠,宋冬锋,刘卫法.基于Smith预估补偿与RBF神经网络的改进PID控制[J].现代电子技术,2011,34(5):153-157. |
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| 作者姓名： | 王宝忠 宋冬锋 刘卫法 |
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| 作者单位： | 江苏科技大学,江苏镇江,212003 |
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| 摘 要： | 由于工业界普遍存在且难以很好地解决恒温控制的大滞后和非线性问题,特提出了将Smith预估补偿和RBF神经网络与PID控制相结合的改进PID控制算法。该算法利用Smith预估补偿对温度滞后问题进行处理,利用RBF网络在线学习能力进行PID参数的动态调整处理非线性问题,进而保证恒温控制使系统处于最佳状态。
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| 关 键 词： | Smith RBF-NN PID 大滞后 非线性 恒温控制 氟碳喷涂 烘道 |
Improved PID Control Based on Smith Predictive Compensation and RBF Neural Network |
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| WANG Bao-zhong,SONG Dong-feng,LIU Wei-fa.Improved PID Control Based on Smith Predictive Compensation and RBF Neural Network[J].Modern Electronic Technique,2011,34(5):153-157. |
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| Authors: | WANG Bao-zhong SONG Dong-feng LIU Wei-fa |
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| Affiliation: | WANG Bao-zhong,SONG Dong-feng,LIU Wei-fa(Jiangsu University of Science And Technology,Zhenjiang 212003,China) |
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| Abstract: | As the problems of big delayed time and nonlinear are normally exist and difficult to solve in the processing industry which used the constant control of temperature,an improved PID algorithm based on Smith predictive compensation and RBF neural network is proposed.The algorithm used the Smith predictive compensation to deal with the big delayed time,and adopted the online learning of RBF neural network to dynamically adjust the PID parameters to deal with the nonlinear,thereby the constant control was ensu... |
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| Keywords: | Smith RBF-NN PID |
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