Study of adaptive inverse control to triaxial rotary table

Jiangbo Zhao; Junzheng Wang

Study of adaptive inverse control to triaxial rotary table

Jiangbo Zhao^*, Junzheng Wang

^*此作品的通讯作者

自动化学院

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

Triaxial is a complicated nonlinear system with dead zone, friction force and gear backlash. The common PID control can not meet the requirement of high precision and fast response. Adaptive inverse control is adopt as the controller to complete the control to triaxial. In the model building to object model and object inverse model, the NARX network is used. The comparison with PID controller shows that adaptive inverse control has higher control precision.

源语言	英语
页（从-至）	460-463
页数	4
期刊	Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
卷	28
期	SUPPL. 5
出版状态	已出版 - 8月 2007

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhao, J., & Wang, J. (2007). Study of adaptive inverse control to triaxial rotary table. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 28(SUPPL. 5), 460-463.

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abstract = "Triaxial is a complicated nonlinear system with dead zone, friction force and gear backlash. The common PID control can not meet the requirement of high precision and fast response. Adaptive inverse control is adopt as the controller to complete the control to triaxial. In the model building to object model and object inverse model, the NARX network is used. The comparison with PID controller shows that adaptive inverse control has higher control precision.",

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AU - Zhao, Jiangbo

AU - Wang, Junzheng

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N2 - Triaxial is a complicated nonlinear system with dead zone, friction force and gear backlash. The common PID control can not meet the requirement of high precision and fast response. Adaptive inverse control is adopt as the controller to complete the control to triaxial. In the model building to object model and object inverse model, the NARX network is used. The comparison with PID controller shows that adaptive inverse control has higher control precision.

AB - Triaxial is a complicated nonlinear system with dead zone, friction force and gear backlash. The common PID control can not meet the requirement of high precision and fast response. Adaptive inverse control is adopt as the controller to complete the control to triaxial. In the model building to object model and object inverse model, the NARX network is used. The comparison with PID controller shows that adaptive inverse control has higher control precision.

KW - Adaptive inverse control

KW - NARX network

KW - Triaxial rotary table

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Study of adaptive inverse control to triaxial rotary table

摘要

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引用此