| 基于模型预测控制的磨机优化系统 |
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| 引用本文： | 陶伟光,戴博.基于模型预测控制的磨机优化系统[J].有色金属(选矿部分),2011(Z1). |
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| 作者姓名： | 陶伟光 戴博 |
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| 作者单位： | 上海ABB工程有限公司,上海,200001 |
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| 摘 要： | 为改善磨矿作业,提高磨矿效率,降低磨矿能耗,提高磨机的生产率,提出一种基于模型预测控制的磨机优化系统。利用逻辑动态混合系统来建立精确的数学模型,通过神经网络和模糊控制算法循环优化,获得全局最优解作为控制器的输出,进而提高优化系统的响应速度和稳定性。
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| 关 键 词： | 神经网络 模糊控制 模型预测控制 磨机优化 |
Mill Optimization System Based on Model Predictive Control |
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| Authors: | TAO Weiguang DAI Bo |
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| Affiliation: | TAO Weiguang,DAI Bo(ABB Engineering(Shanghai)Ltd.,Shanghai 200001,China) |
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| Abstract: | In order to improve the ore grinding process,increase the ore grinding efficiency,reduce the consumption of ore grinding and increase the productivity of ore grinding,a mill optimizer system based on model predictive control is proposed.The precise predictive model is built by using mixed logic dynamic model,and the neuron network and fuzzy control are used as rolling optimization method to obtain the global optimal solution as the controller output.And thus improve the response speed and stability of the s... |
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| Keywords: | neuron network fuzzy control model predictive control mill optimization |
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