摘要
以某化工企业的空分装置为背景,分析了空冷塔液位非线性、大时滞和时变性等特点,并依次设计控制方案,使用了模糊神经网络控制。通过Simulink进行仿真实验,验证结果表明,模糊神经网络控制具有良好的稳态响应和较短的响应时间,并将此仿真应用到该企业的实际生产中,达到了工艺要求,完成了控制目标,产量有了显著提高。
In the background of a chemical company with the air separation plant,analyzes the cooling tower level of nonlinear,large time delay and time-varying characteristics in this paper,and in turn designs control scheme using a fuzzy neural network control. By Simulink simulation experiment to test results showing that the fuzzy neural network control has a good steady-state response and shorter response time,and this simulation was applied to the actual production of the enterprise,it achieves the technological requirements,the completion of the control objectives,production has been significantly improved.
出处
《自动化与仪表》
北大核心
2014年第9期33-36,共4页
Automation & Instrumentation
