计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
20期
91-95
,共5页
许培%陈其工%葛愿%蒋蓉蓉
許培%陳其工%葛願%蔣蓉蓉
허배%진기공%갈원%장용용
网络化控制系统%前向通道时延%预测%自回归滑动平均模型(ARMA)
網絡化控製繫統%前嚮通道時延%預測%自迴歸滑動平均模型(ARMA)
망락화공제계통%전향통도시연%예측%자회귀활동평균모형(ARMA)
networked control system%forward channel time delay%prediction%Auto-Regressive and Moving Average model(ARMA)
网络化控制系统（Networked Control System，NCS）中固有的网络时延会降低系统性能甚至导致系统不稳定，网络时延主要包括前向时延和后向时延。考虑到前向时延在控制器设计控制律时尚未发生，采用自回归滑动平均模型对前向时延进行预测，并将其与径向基函数（RBF）神经网络预测结果进行了对比分析，验证了所给方法的有效性和优越性。
網絡化控製繫統（Networked Control System，NCS）中固有的網絡時延會降低繫統性能甚至導緻繫統不穩定，網絡時延主要包括前嚮時延和後嚮時延。攷慮到前嚮時延在控製器設計控製律時尚未髮生，採用自迴歸滑動平均模型對前嚮時延進行預測，併將其與徑嚮基函數（RBF）神經網絡預測結果進行瞭對比分析，驗證瞭所給方法的有效性和優越性。
망락화공제계통（Networked Control System，NCS）중고유적망락시연회강저계통성능심지도치계통불은정，망락시연주요포괄전향시연화후향시연。고필도전향시연재공제기설계공제률시상미발생，채용자회귀활동평균모형대전향시연진행예측，병장기여경향기함수（RBF）신경망락예측결과진행료대비분석，험증료소급방법적유효성화우월성。
The inherent network time delay in networked control system will reduce the performance of system and even lead to instability. Network time delay mainly includes forward time delay and backward time delay. Considering that forward time delay has not occurred when controller designing the control law, this paper uses Auto-Regressive and Moving Average model (ARMA)to make forward time delay prediction and compares it with the prediction effect of Radial Basis Function(RBF)neu-ral network, the validity and superiority of the method has been demonstrated.
