机床与液压
機床與液壓
궤상여액압
MACHINE TOOL & HYDRAULICS
2014年
21期
109-112
,共4页
李大海%周阳阳%张辉%李天石
李大海%週暘暘%張輝%李天石
리대해%주양양%장휘%리천석
加载系统%支持向量回归%多输入多输出系统%分散控制
加載繫統%支持嚮量迴歸%多輸入多輸齣繫統%分散控製
가재계통%지지향량회귀%다수입다수출계통%분산공제
Loading system%Support vector regression%Multi-input multi-output system%Decentralized control
针对多通道电液力伺服协调加载系统的控制算法,分析了加载系统的特性,提出了一种基于在线支持向量回归的分散预测控制算法。该算法应用在线支持向量回归进行各加载通道模型的在线估计,并将其作为分散预测控制的预测模型。仿真结果表明了该算法的有效性。
針對多通道電液力伺服協調加載繫統的控製算法,分析瞭加載繫統的特性,提齣瞭一種基于在線支持嚮量迴歸的分散預測控製算法。該算法應用在線支持嚮量迴歸進行各加載通道模型的在線估計,併將其作為分散預測控製的預測模型。倣真結果錶明瞭該算法的有效性。
침대다통도전액력사복협조가재계통적공제산법,분석료가재계통적특성,제출료일충기우재선지지향량회귀적분산예측공제산법。해산법응용재선지지향량회귀진행각가재통도모형적재선고계,병장기작위분산예측공제적예측모형。방진결과표명료해산법적유효성。
Aiming at control algorithm of multichannel electrohydraulic force servo synchronous loading system,after analyzed the characteristic of the loading system,a decentralized model predictive control algorithm based on on-line support vector regression (SVR)was presented. In this algorithm,on-line SVR was utilized to estimate the models of loading channels,and these models were applied to decentralized model predictive control as the predict models. The simulation results demonstrate effectiveness of the algo-rithm.