摘要
跳汰机是选煤的关键设备,对这样复杂的非线性、大滞后系统建立精确的数学模型极其困难,传统的控制方法很难达到良好的控制效果。针对这一问题,应用遗传算法和BP算法结合的方法建立了跳汰机矸石段系统模型,进而可以采用智能控制的方法对其进行控制。
As a key equipment of coal preparation,it is difficult to get the satisfactory effect on the complicated,nonlinear and great lag system like a jig,for it is hard to find the precise mathematical model of the jig.In this paper GA and ANN are used to find the model of the first stage of jig,then an intelligent method is adopted to control it.
出处
《振动．测试与诊断》
EI
CSCD
2007年第2期133-136,共4页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金资助项目(编号:50335030
50405043)
关键词
跳汰机
遗传算法
神经网络
状态识别
jig genetic algrithm artificial neural network(ANN)state recognise
