自适应振动筛自学习机理研究  

Self-learning Mechanism Research on Auto-adapted Shale Shaker

作　　者：朱晓梅[1] 洪黎[2] 田昌文[1] 裴广领[1] 裴彩霞[1] 

机构地区：[1]河南石油勘探局钻井工程公司,河南南阳473132 [2]河南石油勘探局机动处,河南南阳473132

出　　处：《石油矿场机械》2011年第12期16-20,共5页Oil Field Equipment

摘　　要：为更好地提高振动筛适应外界工况变化的能力,将自适应控制理论应用到振动筛动态性能参数的调整中。研究了振动筛的自学习、自适应过程,对参数估计、自适应控制器设计和自学习控制闭环进行监测。详述带有监测与协调级的自学习、自适应振动筛,全面提升振动筛性能,以推动一种新型振动筛的诞生。In order to improve the capability of the shale shaker to adapt to the external conditions change,the adaptive control theory is applied to the shaker＇s examination of the dynamic property parameter;according to the research on the self-learning and adaptive process of Auto-adapted Shale Shaker,the article monitors the parameter estimation,the design on adaptive controller and self-learning control loop,and details Self-learning adaptive shale shaker with the monitoring and coordination level to comprehensively enhance the shaker＇s performance and promote a new vibration sieve will be born.

关 键 词：自适应振动筛 监测与协调 闭环控制 自学习机理 

分 类 号：TE926[石油与天然气工程—石油机械设备]