| 带式输送机变频调速节能控制系统研究 |
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| 引用本文： | 孙伟,王慧,杨海群.带式输送机变频调速节能控制系统研究[J].工矿自动化,2013,39(4):98-101. |
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| 作者姓名： | 孙伟 王慧 杨海群 |
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| 作者单位： | 中国矿业大学信电学院,江苏徐州,221008 |
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| 摘 要： | 针对某矿带式输送机电能浪费严重的问题,设计了带式输送机变频调速节能控制系统。该系统应用BP神经网络建立带式输送机煤流量、输送带速度和电能消耗的节能模型;基于遗传算法和神经网络对模型参数进行优化,得到了煤流量和输送带速度的最优匹配关系;利用模糊控制算法实现了带式输送机变频调速的节能运行。实际应用表明,该系统可根据煤流量大小调节输送带速度,节能效果显著。
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| 关 键 词： | 带式输送机 变频调速 煤流量 速度调节 BP神经网络 遗传算法 节能 |
Research of energy-saving control system with frequency-conversion speed-regulation for belt conveyor |
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| Abstract: | In view of electrical energy waste problem of belt conveyor in a Coal Mine,an electrical energy-saving control system with frequency-conversion speed-regulation for belt conveyor was designed.The system uses BP neural network to build energy-saving model of coal flow,belt speed and power consumption of belt conveyor,uses genetic algorithm and neural network to optimize the model parameters to get the best matching relationship between the coal flow and belt speed,uses fuzzy control algorithm to realize energy-saving operation of belt conveyor with frequency-conversion speed-regulation.The practical application shows that the system can regulate speed of belt conveyor according to coal flow,and energy-saving effect is notable. |
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| Keywords: | belt conveyor frequency-conversion speed-regulation coal flow speed regulation BP neural network genetic algorithm energy-saving |
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