Research on Robot Motion Control Based on Variable Structure Fuzzy Neural Network Based on T-S Model

被引:1
作者
Li, Jingyu [1 ]
机构
[1] Shandong Jianzhu Univ, Coll Informat & Elect Engn, Jinan 250101, Shandong, Peoples R China
来源
2019 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2020年 / 440卷
关键词
D O I
10.1088/1755-1315/440/3/032090
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The motion robot system is a nonlinear, strong coupling, non-integrity constraint control system, and its motion control has always been a hot topic in the control field. Aiming at the problem that the fuzzy neural network controller has too large computational complexity and poor anti-interference ability to the outside world, the paper proposes a fuzzy neural network control algorithm for TS, which reduces the computational complexity of the neural network and makes the closed-loop system of the robot more stable. The simulation experiment proves that the fuzzy neural network algorithm based on T-S makes the controller more resistant to external disturbances, and can maintain a high level of control even in harsh environments.
引用
收藏
页数:9
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