Utilizing Function Approximation Technique and Neural Network Controllers on a 2-DOF Painter Robot

被引：1

作者：

Hadian, Mohammad Hosein ^{[1
]}

Salehian, Melika ^{[1
]}

Sharifi, Iman ^{[2
]}

Menhaj, Mohammad Bagher ^{[2
]}

机构：

[1] Amirkabir Univ Technol, Elect Engn Dept, Tehran, Iran

[2] Amirkabir Univ Technol, Elect Engn, Tehran, Iran

来源：

2022 10TH RSI INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM) | 2022年

关键词：

serial robot; painter; 2-DOF; neural network; adaptive;

D O I：

10.1109/ICRoM57054.2022.10025162

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The field of painting can be mentioned as an area that robots have been doing a remarkable progress. Considering the amount accuracy required in this issue, not only the structure design of robots, but also the design of controllers is very crucial. In this paper, after expressing the structural features of 2-DOF serial robot, an attempt is made to apply both adaptive and neural network-based controllers on the painter robot. The simulation results are compared and the privilege of controllers are discussed.

引用

页码：202 / 208

页数：7

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