基于对角递归网络的自适应反馈补偿控制器  

Self-adaptive Feedback Compensation Controller Based on Diagonal Recurrent Neural Network

作　　者：赵栩[1] 段慧达[2] 

机构地区：[1]长春工程学院电气与信息工程学院,吉林长春130012 [2]北华大学电气信息工程学院,吉林吉林132021

出　　处：《电气传动》2009年第7期49-52,共4页Electric Drive

基　　金：吉林省科技厅项目(200505263)

摘　　要：在轧钢控制系统中,由于轧机两侧液压压下系统的不一致会导致带材横向厚度差分布不均匀,直接影响带材的板形质量,针对此问题,提出将对角递归网络自适应PID控制器用于反馈回路中的补偿控制方案,用以提高轧机两侧压下动态同步的品质。仿真实验结果表明,此种方案能满足被控对象对高精度同步控制的要求。The vary character of both side of rolling mill hydraulic pressing system leads to an unequal horizontal thickness difference distribution of strip which affects strip shape directly. In order to resolve this problem, the neural network self-adaptive PID based on diagonal recurrent neural network was used in feedback circle of rolling mill hydraulic pressing system to improve the synchronization of both side of rolling mill hydraulic pressing system . The results of simulation tests indicate this method can satisfy the demands of the controlled object for the high precision synchronous control.

关 键 词：液压伺服 对角递归网络 板形控制 递推预报误差算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]