摘要
对实际对象进行数学建模来加以分析和处理是非常重要的,电厂锅炉汽包水位控制系统是火力发电中的一个重要组成部分,维持锅炉汽包水位在一定的范围内是机组安全运行的主要条件。本文将T-S模糊神经网络模型应用到锅炉汽包水位对象的数学建模中,通过对模型的参数学习,得到锅炉汽包水位的仿真模型。
Mathematical modeling to analysis and processing of the actual object is very important. The power plant boiler drum water level control system is an important part of the thermal power. It is the main condition in maintaining boiler drum water level in a certain range of the safe operation of the unit. This article takes TS fuzzy neural network model applies to the mathematical modeling of the boiler drum level object, through the learning parameters of the model, the simulation model of boiler drum level is obtained.
出处
《自动化技术与应用》
2013年第1期111-113,共3页
Techniques of Automation and Applications