| 基于模糊神经网络的岩盐卤水浓度的控制方法研究 |
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| 引用本文： | 殷国富, 刘东, 申新卫. 基于模糊神经网络的岩盐卤水浓度的控制方法研究. 自动化学报, 2000, 26(4): 519-522. |
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| 作者姓名： | 殷国富 刘东 申新卫 |
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| 作者单位： | 1.四川大学机械工程系,成都 |
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| 基金项目： | 本课题为"八五”国家重点科技攻关项目:岩盐水溶开采工艺参数的监测与控制的研究(85-06-03-01). |
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| 摘 要： | 针对岩盐水溶开采中卤水浓度具有慢时变非线性特征,设计出一种基于神经网络结构的定常体积下浓度模糊控制与变体积下流量比例因子调节相结合的控制方案,所提出的控制模型和学习算法,可实现对系统的自适应调整,实验结果证明了该方法的有效性.
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| 关 键 词： | 神经网络 模糊控制 学习算法 自适应控制 |
| 收稿时间： | 1997-01-13 |
| 修稿时间： | 1997-01-13 |
RESEARCH ON CONTROL METHOD OF BITTERN DENSITY BASED ON FUZZY NEURAL NETWORK IN SALT SOLUTION MINING |
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| Yin Guofu, Liu Dong, Shen Xinwei. Research on Control Method of Bittern Density Based on Fuzzy Neural Network in Salt Solution Mining. ACTA AUTOMATICA SINICA, 2000, 26(4): 519-522. |
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| Authors: | Yin Guofu Liu Dong Shen Xinwei |
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| Affiliation: | 1. Dept.of Mechanical Engineering,Stchuan University,Chendu |
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| Abstract: | Bittern density control in salt solution mining is a slow time delaying and nonlinear process. This paper presents a control method which combines density fuzzy control under constant volume with the regulation of flow proportion factor under variable volume. The method is based on an artificial neural network, whose control model and learning algorithm are also discussed in the paper.Through simulating it is shown that the method is efficient. |
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| Keywords: | Neural network fuzzy control learning algorithm adaptive control. |
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