【摘要】 针对在重介质选煤过程中存在着时变、非线性和强耦合的控制环节,传统的控制策略并不能很好的对其进行控制的问题,采用了模糊神经网络控制算法,建立了重介质选煤过程的控制模型,该模型主要由模糊神经控制器控制主选分流执行阀和加介分流执行阀和清水阀来完成重介质选煤控制,对该控制策略进行工业试验,结果表明,对于重介质悬浮液密度和合格介质桶的液位的控制,采用模糊神经网络控制策略精度高,响应速度较快,可满足生产工艺的控制要求。更多还原

【Abstract】 In the heavy-medium coal separation,some control links with time-varying,nonlinear and strong coupling cannot be controlled well by the traditional control strategies.In view of this,the fuzzy neural network algorithm was adopted,and the control model was established for the heavy-medium coal processing.The by-pass valve for main separation,the by-pass valve for medium adding and the water outlet valve were controlled by the fuzzy neural controller to complete the heavy-medium coal separation.The commercial tests showed that the control of density of heavy-medium suspension and the liquid level of qualified medium bucket would be high accuracy with rapid response speed,which could meet the requirements of the control on the production technology.更多还原