【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。更多还原

【Abstract】 Coal dry beneficiation with air-dense medium fluidized bed(ADMFB) is a nonlinear,and multivariable coupling system.Due to the features of ADMFB with multivariable nonlinear and strong coupling as well as uncertain parameters,a cascade-connected self-adaptive 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.更多还原