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Energy-saving optimal control for a factual electrostatic precipitator with multiple electric-field stages based on GA

机译:基于遗传算法的多电场事实静电除尘器节能优化控制

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摘要

For energy-saving control of electrostatic precipitator with multiple electric-field stages, a new optimal control strategy to minimize the total power consumption by adjusting the secondary voltages subject to the dust outlet concentration requirement is suggested. The optimal problem is established on the basis of the proposed mathematical models on the secondary voltage relating to the outlet concentration, the secondary current, the primary voltage and the primary current, and is solved by the genetic algorithm. A practice application to an industrial precipitator is given as well.
机译:对于具有多个电场级的静电除尘器的节能控制,提出了一种新的最优控制策略,该策略通过根据粉尘出口浓度要求调节次级电压来最大程度地减少总功耗。在提出的关于出口浓度,二次电流,一次电压和一次电流的二次电压数学模型的基础上,建立了最优问题,并通过遗传算法求解。还给出了工业除尘器的实际应用。

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