基于自适应神经模糊系统的锅炉汽轮机建模  

Modeling of Boiler and Steam Turbine Based on Adaptive Neural Fuzzy System

作　　者：苏志鹏 王东风[1] Su Zhipeng;Wang Dongfeng(School of Control Science and Engineering,North China Electric Power University,Hebei,Baoding,071003,China)

机构地区：[1]华北电力大学控制科学与工程学院

出　　处：《仪器仪表用户》2019年第11期99-102,共4页Instrumentation

摘　　要：热工对象由于其自身大延迟、强耦合等特点,较难建立其较为精确的模型。针对锅炉汽轮机模型,使用Bell-Astrom锅炉汽轮机模型产生数据,采用自适应神经模糊系统(Adaptive Neuro-Fuzzy Inference System,ANFIS)进行建模。而后,对传统的ANFIS采用Fletcher-Reeves update法进行改进,并与改进前的ANFIS建模效果进行对比,验证改进的有效性。Due to the characteristics of large delay and strong coupling,it is difficult to establish a more accurate model of thermal objects.In this paper,aiming at the boiler steam turbine model,the Bell-Astrom boiler steam turbine model is used to generate data,and the adaptive neural fuzzy system(adaptive neuro-fuzzy inference system,ANFIS)is used to model the model.Then,the traditional ANFIS is improved by Fletcher-Reeves update method,and the effect of ANFIS modeling before the improvement is compared to verify the effectiveness of the improvement.

关 键 词：锅炉汽轮机 自适应神经模糊推理系统 Fletcher-Reeves UPDATE 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]