| 一种新型智能温室温度控制系统的算法设计与仿真研究 |
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| 引用本文： | 邢伟,潘海鹏. 一种新型智能温室温度控制系统的算法设计与仿真研究[J]. 浙江万里学院学报, 2010, 23(2): 67-71,80 |
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| 作者姓名： | 邢伟 潘海鹏 |
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| 作者单位： | 1. 浙江万里学院,浙江,宁波,315100
2. 浙江理工大学,自动化研究所,浙江,杭州,310018 |
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| 摘 要： | 为了更好地实现对温室温度的控制,文章提出了一种模糊神经网络PID控制算法,该算法可以有效地解决普通PID控制器依赖于对象数学模型的不足,可实现控制系统的在线自适应调整,可满足实时控制的要求,仿真结果表明：基于模糊神经网络的PID控制器具有良好的自学习和自适应性,动态性能好,具有一定的应用价值和推广价值。
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| 关 键 词： | 温室温度 模糊神经网络PID 算法设计 仿真 |
Design and Research of a New Intelligent Fuzzy Control System of Greenhouse Temperature |
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| XING Wei,PAN Hai-peng. Design and Research of a New Intelligent Fuzzy Control System of Greenhouse Temperature[J]. Journal of Zhejiang Wanli University, 2010, 23(2): 67-71,80 |
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| Authors: | XING Wei PAN Hai-peng |
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| Affiliation: | XING Wei1,PAN Hai-peng2 (1. Zhejiang Wanli University,Ningbo Zhejiang 315100,2.Department of Automation,Zhejiang Sci-Tech University,Hangzhou Zhejiang 310018) |
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| Abstract: | In order to control temperature in greenhouse better,a fuzzy neural network PID control was presented in this paper. The intelligent controller can adjust the parameters according to the variation of system characteristics even if the system model is unknown,and meet the requirement of realtime control. The approach showed the characteristics of outstanding adaptability and selfstudy ability,satisfactory dynamic performance,and certain application values by simulation results. |
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| Keywords: | greenhouse temperature fuzzy neural network self-turning PID simulation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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