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基于模糊加权的多模型预测控制在过热汽温系统中的仿真研究
引用本文:崔东艳,文怀海,张德泉.基于模糊加权的多模型预测控制在过热汽温系统中的仿真研究[J].兰州石化职业技术学院学报,2008,8(2):36-39.
作者姓名:崔东艳  文怀海  张德泉
作者单位:兰州石化职业技术学院,电子电气工程系,甘肃,兰州,730060
摘    要:针对大多数复杂热工控制对象非线性特性与运行工况密切相关的实际特点,提出了一种基于模糊加权的多模型预测控制算法。该算法采用多模型自适应控制(MMAC)中模型集选取的方法,权重计算则通过多模型优化模糊加权算法,将各子模型输出概率加权平均值作为对实际对象的预测输出值,通过一个动态矩阵预测控制器计算最终控制。并对一个超临界600MW直流锅炉过热汽温对象进行仿真,验证了该算法的有效性。

关 键 词:多模型  模糊加权  动态矩阵  过热汽温系统

Simulation Study of Multi-model Predictive Control Based on Fuzzy-weighting in Superheated Temperature System
CUI Dong-yan,WEN Huai-hai,Zhang De-quan.Simulation Study of Multi-model Predictive Control Based on Fuzzy-weighting in Superheated Temperature System[J].Journal of Lanzhou Petrochemical Vocational College of Technology,2008,8(2):36-39.
Authors:CUI Dong-yan  WEN Huai-hai  Zhang De-quan
Institution:CUI Dong - yan, WEN Huai - hai, Zhang De - quan (Department of Electric and Electronic Engineering, Lanzhou Petrochemical College of Technology, Lanzhou 730060, China)
Abstract:In view of the problems such as nonlinear, uncertainties and operating points variations etc, a multimodel predictive control algorithm based on fuzzy -weighting is proposed, which combines multiple model adaptive control, fuzzy control with predictive control. The weights are calculated by the multi -model optimization fuzzyweighting control algorithm, and the controllers are optimized by dynamic matrix control. This algorithm is success- fully applied to superheated temperature of a supercritical once - through 600MW boiler steam generator. The re- sults of simulation prove that the algorithm has a good performance and stronger adaptive ability.
Keywords:multi - model  fuzzy - weighting  dynamic matrix  superheated temperature system
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