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基于改进遗传算法的造纸机干燥部排风系统参数优化
Optimization of Exhaust System Parameters in Drying Section of Paper Machine Based on Improved Genetic Algorithm
收稿日期：  
DOI：10.11980/j.issn.0254-508X.2017.10.008
关键词:  造纸机干燥部  能耗优化  遗传算法  MATLAB仿真
Key Words:paper machine drying section  energy consumption optimization  genetic algorithm  MATLAB simulation
基金项目:陕西省重点科技创新团队计划项目（2014KCT-15）；陕西省科技统筹创新工程计划项目（2016KTCQ01-35）。
作者单位
汤　伟1 1.陕西科技大学电气与信息工程学院，陕西西安，710021 
杨润珊1，* 1.陕西科技大学电气与信息工程学院，陕西西安，710021 
孙振宇2 2.陕西科技大学机电工程学院，陕西西安，710021 
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摘要:为降低造纸机干燥部能耗，提出了一种基于改进遗传算法的干燥部通风系统参数优化的方法。通过建立造纸机干燥部能耗模型并利用改进遗传算法对排风温度、排风湿度和排风量进行优化。MATLAB仿真实验表明，本课题提出的优化方法使造纸机干燥部能耗进一步降低，具有显著的节能降耗效益。
Abstract:For the purpose of reducing energy consumption of paper machine drying section, the method of optimizing the parameters for ventilation system based on improved genetic algorithm was put forward. The energy consumption model of paper machine drying section was established and by using the improved genetic algorithm, the exhaust temperature, exhaust humidity and air flow were optimized. MATLAB simulation experiments showed that after using this optimizing method, the energy consumption of paper machine drying section was further reduced, which had remarkable benefits for energy conservation．
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