| 基于神经网络Fuzzy-PID控制器的温控系统 |
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| 引用本文： | 尹志宇.基于神经网络Fuzzy-PID控制器的温控系统[J].工业加热,2011,40(3):49-51. |
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| 作者姓名： | 尹志宇 |
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| 作者单位： | 河北师范大学物理科学与信息工程学院,河北石家庄,050016 |
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| 基金项目： | 河北省教育厅自然科学项目，河北师范大学青年基金 |
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| 摘 要： | 设计了一种基于模糊推理进行参数自整定的PID控制器,构造了一个3层BP神经网络来学习模糊控制规则完成模糊控制的模糊推理.将该控制器应用于电阻炉的温度控制,并与普通模糊自整定PID控制器进行比较,表明该方法提高了对非线性、时滞系统的控制效果.
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| 关 键 词： | 电阻炉 神经网络 Fuzzy PID 温度控制 |
Temperature Control System Based on Neural Network Fuzzy-PID Controller |
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| YIN Zhi-yu.Temperature Control System Based on Neural Network Fuzzy-PID Controller[J].Industrial Heating,2011,40(3):49-51. |
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| Authors: | YIN Zhi-yu |
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| Affiliation: | YIN Zhi-yu (Physical Science and Information Engineering Institute, Hebei Normal University, Shijiazhuang 050016, China) |
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| Abstract: | A parameters self-adjusting PID controler based on fuzzy reasoning is designed, a three level BP neural network is designed to learn fuzzy control rules and accomplish fuzzy reference of fuzzy contro. The controller is appled to the temperature control of resistance furnace and Compared with fuzzy self-adjusting PID controller. The results showed that the method can improve control effect of nonlinear and time delay system. |
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| Keywords: | resistance furnace neural network fuzzy PID temperature control |
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