Time-delay Cooperative Control of Circumferential Yarn Implantation System for 3D Braiding Machine Using Novel Nonlinear Adaptive Gains

被引:0
|
作者
Wang, Yaoyao [1 ,2 ]
Shan, Zhongde [1 ,2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing, Peoples R China
[2] State Key Lab Mech & Control Aerosp Struct, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional-order nonsingular terminal sliding mode; nonlinear adaptive gains; relative-coupling contro; 3D braiding; time-delay cooperative controll; SLIDING-MODE CONTROL; TRAJECTORY TRACKING;
D O I
10.1007/s12555-024-0092-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To achieve accurate and fast cooperative trajectory tracking performance of circumferential yarn implantation system for 3D braiding machine under complicated uncertainties, a new time-delay cooperative control (TDCC) is proposed using novel nonlinear adaptive gains. The proposed TDCC consists of three terms, which are the time-delay estimation (TDE) and fractional-order nonsingular terminal sliding mode (FONTSM) dynamics and designed nonlinear adaptive gains. The TDE is applied to obtain the lumped system dynamics in a concise form, while the FONTSM is designed based on a newly proposed relative-coupling error dynamic to assure high cooperative control performance. Afterwards, novel nonlinear adaptive gains are designed to further enhance the control under measurement noise and lumped uncertainties. Enjoying a novel nonlinear structure, the proposed adaptive gains can effectively suppress the noise effect when the performance is satisfactory; and they still have the ability to ensure adaptive performance greatly when the control tends to degrade. Thanks to above three parts, our TDCC is model-free, precise and robust. Stability is proved using Lyapunov method. Comparative experiments were conducted using a designed circumferential yarn implantation system with three RGVs. The results show that our TDCC provides better performance over the latest two TDC methods, where the root-mean-square error (RMSE) of the RGVs are maximum of 90% and 75% of the other two TDC methods, respectively, and the maximum absolute error (MAE) are maximum of 91.2% and 80.5%, respectively. The RMSE and MAE of the RGVs with payload increase by a maximum of 11.1% and 13.3%, respectively under our TDCC. The results validate the effectiveness of the proposed method.
引用
收藏
页码:3525 / 3537
页数:13
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