Adaptive Sliding Mode Control based on the Fuzzy Theory for Food Processing Robot

被引：0

作者：

Mao, Yanni ^{[1
]}

Xia, Wenshui ^{[2
]}

机构：

[1] Yantai Nanshan Univ, Dept Food Sci & Engn, Longkou 265713, Peoples R China

[2] Jiangnan Univ, Sch Food Sci & Technol, Wuxi 214122, Peoples R China

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND SOCIETY | 2016年 / 37卷

关键词：

Food processing; fuzzy theory; adaptive sliding mode control; robustness;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Due to the large consumption and dispersed processing of food, therefore, the study of food processing robots have been widely concerned. The food processing robot control system is susceptible to the extreme dynamic characteristics and the influence of external disturbance parameters. Combining fuzzy theory with sliding mode control, Adaptive sliding mode control is proposed based on the theory of fuzzy, in order to improve control accuracy and stability. The simulation results show that compared with the conventional sliding mode control method, the control is not only the external disturbance and parameter perturbation with stronger adaptability and robustness, but also has fast dynamic response and good tracking performance.

引用

页码：1750 / 1754

页数：5

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