刘晓悦,冯立强

• 1:华北理工大学电气工程学院

摘要(Abstract)：

工业锅炉正常运行的一个重要指标是汽包水位,然而实际运行中出现的虚假水位现象对锅炉的正常运行产生很大影响。当前常规的调节策略是以PID为核心的三冲量策略,但是由于PID的调控效果对被控对象的数学模型依赖度高,而汽包水位难以建立精确的模型,此方案的实际效果并不理想。基于此,引入扩展卡尔曼神经网络方法。此方法具有不依赖模型的特点,并依据此方法设计网络控制器(EK-NNC),目的是替换常规PID控制器。最后给出EK-NNC与常规PID的对比结果。

关键词(KeyWords)： 扩展卡尔曼算法;人工神经网络;工业锅炉;水位控制;三冲量;实验仿真

Abstract:

Keywords:

基金项目(Foundation): 河北省自然科学基金项目(E2016209357)~~

作者(Author): 刘晓悦,冯立强

DOI: 10.16652/j.issn.1004-373x.2018.19.023

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