| 基于PID神经网络的碳粉燃烧器解耦控制问题研究 |
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| 引用本文： | 马文斌,谭翰墨,芮延年.基于PID神经网络的碳粉燃烧器解耦控制问题研究[J].常熟理工学院学报,2011,25(10):98-101. |
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| 作者姓名： | 马文斌 谭翰墨 芮延年 |
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| 作者单位： | 常熟理工学院机械工程学院,江苏常熟,215500 |
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| 摘 要： | 针对特定碳粉燃烧器中设定温区不同温度值难以采用常规控制算法解决的问题,提出了利用燃烧室不同位置测量温度作为输入,碳粉送进机构以及进气量控制为输出,基于多变量控制系统的特点建立了BP神经网络数学模型,利用PID神经网络控制建立系统的解耦模型,以不同热区温度设定值和燃烧器温度值为解耦模型输入参量,将系统解耦模型的输出作为BP神经网络控制系统的输入值,对燃烧过程进行控制,仿真结果表明该方法具有较好的控制特性.
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| 关 键 词： | 碳粉燃烧器 神经网络 解耦 |
A Study of the Problem of Carbon Powder Burner Decoupling Control Based on PID Neural Network |
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| MA Wen-bin, TAN Han-mo, RUI Yan-nian.A Study of the Problem of Carbon Powder Burner Decoupling Control Based on PID Neural Network[J].Journal of Changshu Institute of Technology,2011,25(10):98-101. |
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| Authors: | MA Wen-bin TAN Han-mo RUI Yan-nian |
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| Institution: | (School of Mechanical Engineering, Changshu Institute of Technology, Changshu 215500, China) |
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| Abstract: | In order to solve the problem of holding a certain place for temperature gradient of charcoal powder burning room, this paper introduces a kind of new method which keeps measurement data as input of control system and capacity of charcoal powder and gas. Based on multivariable control systems, a new BP neural network is built and PID Neural Networks can be used as system decoupling model so as to keep different temperature data of each parts for Charcoal powder burning room and burning temperature as input, and decoupling model output as BP neural networks input to simulate this process. The result shows that the method is beneficial to the temperature control. |
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| Keywords: | charcoal powder burner neural networks decoupling model |
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