空气重介流化床分选过程解耦控制研究  

Search of Decoupling Control on Beneficiation of Air-dense Medium Fluidized Bed

作　　者：高松[1] 王振翀[1] 李毅[1] 

机构地区：[1]中国矿业大学机电与信息工程学院,北京100083

出　　处：《煤矿机械》2008年第3期43-46,共4页Coal Mine Machinery

基　　金：国家自然科学基金(50474030);863基金(2007AA05Z315)

摘　　要：针对空气重介流化床干法分选系统具有多变量、非线性、强耦合和参数不确定性的特点,提出了两级串联结构的自适应模糊神经网络解耦控制策略,前级为基于连续性智能权函数规则的自调整模糊控制器,后级为基于动态耦合特性的自适应神经元解耦控制器。Coal dry beneficiation with air- dense medium fluidized bed（ADMFB） is a nonlinear, and mnltiva-riable coupling system. Due to the features of ADMFB with as uncertain parameters, a cascade - connected self-adapti mnltivariable nonlinear and strong coupling as well ve fuzzy neural network decoupling control strategy is proposed. The former is a self-tuning fuzzy controller by using the intelligent weight function rulers. The latter is a self- adaptive neuron decoupling controller based on the learning algorithm of dynamical coupling characteristic.

关 键 词：空气重介 流化床 模糊控制 神经元 解耦控制 

分 类 号：TD455[矿业工程—矿山机电] TP273[自动化与计算机技术—检测技术与自动化装置]