计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2009年
21期
209-211,221
,共4页
可控受限多变量耦合系统%对角递归神经网络(DRNN)%混合解耦控制%PID控制
可控受限多變量耦閤繫統%對角遞歸神經網絡(DRNN)%混閤解耦控製%PID控製
가공수한다변량우합계통%대각체귀신경망락(DRNN)%혼합해우공제%PID공제
limited controllability multivariable coupling system%Diagonal Recurrent Network (DRNN)%mixed decoupling control%PID control
针对可控受限多变量耦合系统,提出了一种基于对角递归神经网络(DRNN)整定的PID混合解耦控制.采用对角递归神经网络来辨识系统模型,进而对PID控制器参数进行整定,实现多变量解耦控制.通过对多变量耦合控制系统的设计和实时控制,实际控制结果达到了解耦控制的要求,并具有无超调、响应速度快、控制精度高等特点.
針對可控受限多變量耦閤繫統,提齣瞭一種基于對角遞歸神經網絡(DRNN)整定的PID混閤解耦控製.採用對角遞歸神經網絡來辨識繫統模型,進而對PID控製器參數進行整定,實現多變量解耦控製.通過對多變量耦閤控製繫統的設計和實時控製,實際控製結果達到瞭解耦控製的要求,併具有無超調、響應速度快、控製精度高等特點.
침대가공수한다변량우합계통,제출료일충기우대각체귀신경망락(DRNN)정정적PID혼합해우공제.채용대각체귀신경망락래변식계통모형,진이대PID공제기삼수진행정정,실현다변량해우공제.통과대다변량우합공제계통적설계화실시공제,실제공제결과체도료해우공제적요구,병구유무초조、향응속도쾌、공제정도고등특점.
According to the limited controllability of the multivariable coupling system,a PID self-tuning mixed decoupling con-trol method based on DRNN is put forward.It can realize decoupling multivariable system with identifying system model with DRNN and tuning the parameters of PID controller.It is used to real-time control of the multivariable furnace temperature control system.The experimental results indicate that mixed decoupling method based on DRNN has the advantage of non-overshoot,high speed and high control precision compared with common PID control.
