自适应振动筛自学习机理研究

Self-learning Mechanism Research on Auto-adapted Shale Shaker

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.