| 基于模糊神经网络的智能温室环境控制方案 |
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| 引用本文： | 彭辉,曾碧.基于模糊神经网络的智能温室环境控制方案[J].农机化研究,2017(6):43-49. |
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| 作者姓名： | 彭辉 曾碧 |
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| 作者单位： | 1. 广西工业职业技术学院电子与电气工程系,南宁,530001;2. 广东工业大学计算机学院,广州,510006 |
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| 基金项目： | 广西教育厅项目(KY2015YB440)；广西工业职业技术学院项目(桂工业院[2014]56) |
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| 摘 要： | 针对农业温室环境的精确建模和控制问题,提出了一种基于模糊神经网络的智能控制方案。首先,在考虑室内外环境因素下,构建一个有效的温室环境数学模型,获得通风量、喷雾量和加热量的微分表达式;然后,利用一种自适应模糊神经推理系统(ANFIS),以温度和湿度差作为输入,通过神经网络自学习和模糊推理获得控制输出;最后,通过遗传算法优化控制器的输出比例因子,提高控制响应速度和稳定性。实验结果表明:该方案能够快速且稳定地追踪环境设置值,具有很好的控制效果。
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| 关 键 词： | 温室环境 智能控制 自适应 模糊神经推理 遗传算法 |
Intelligent Greenhouse Environment Control Based on Fuzzy Neural Network |
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| Peng Hui,Zeng Bi.Intelligent Greenhouse Environment Control Based on Fuzzy Neural Network[J].Journal of Agricultural Mechanization Research,2017(6):43-49. |
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| Authors: | Peng Hui Zeng Bi |
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| Abstract: | For the issue that the accurate modeling and control of agriculture greenhouse environment , a intelligent con-trol scheme based on fuzzy neural network is proposed .Firstly, a mathematical model of the greenhouse environment is constructed under considering of the indoor and outdoor environmental factor , and the differential expressions of ventila-tion, spray and heat value are obtained .Then, an adaptive fuzzy neural inference system ( ANFIS) is used to obtain the control output by the neural network self learning and fuzzy inference , with the temperature and humidity as the input . Finally , the output scaling factor of the controller is optimized by genetic algorithm , which improves the control response speed and stability .The experimental results show that the proposed scheme can quickly and stably track the setting value of the environment , and has good control effect . |
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| Keywords: | greenhouse environment intelligent control adaptive fuzzy inference genetic algorithm |
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