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BP神经网络PID控制器在汽温控制中的应用
引用本文:王万召,王增欣.BP神经网络PID控制器在汽温控制中的应用[J].自动化仪表,2006,27(12):31-33.
作者姓名:王万召  王增欣
作者单位:平顶山工学院建筑环境与热能工程系,平顶山,467000
摘    要:通过将BP神经网络和常规PID控制器结合,提出了一种新的火电厂超临界机组过热汽温控制方案。将这种方法应用干主汽温控制,可以有效克服过热汽温对象的大滞后和大惯性,并能够克服对象在运行中参数变化的影响,获得良好的控制品质。仿真试验表明:所设计的系统在控制品质、鲁棒性方面明显优于常规PID控制系统。

关 键 词:BP神经网络  PID控制器  超临界机组  过热汽温  大迟延
修稿时间:2006-06-21

The Application of BP Neural Network Based PID Controller in Superheated Steam Temperature Control System
Wang Wanzhao,Wang Zengxin.The Application of BP Neural Network Based PID Controller in Superheated Steam Temperature Control System[J].Process Automation Instrumentation,2006,27(12):31-33.
Authors:Wang Wanzhao  Wang Zengxin
Abstract:By combining the BP neural network with conventional PID controller, a new temperature control strategy of superheated steam in supercritical electric power plant is put forward. This scheme can effectively overcome the large time delay and inertia of the superheated steam and the influence of object in varying operational parameters, thus excellent control quality is obtained. Through simulation in various situations, it validates that the control quality and the robustness of this control system are apparently superior to the conventional PID control system.
Keywords:BP neural network PID controller Supercritieal power unit Superheated steam temperature Large time delay
本文献已被 CNKI 维普 万方数据 等数据库收录!
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