Artificial Neural Network and Implementation of Robotic Arm for Mineral Extraction in Mines with Permanent Magnet Synchronous Motor

• Main Authors: Yadagir, G., Sudha, M., Reddy G, Vidya Sagar, Rani, D.Shobha, Sophia, S, Roseline, J Femila
• Format: Conference Proceeding
• Language: English
• Subjects: artificial neural network; Manipulators; mineral extraction; Minerals; Permanent magnet motors; permanent magnet synchronous motor drive; Productivity; Robot sensing systems; Robotic arm; Safety; sensors; Synchronous motors
• ISSN: 2767-7788
• DOI: 10.1109/ICICT57646.2023.10134219

The implementation of a robotic arm for mineral extraction in mines is a challenging task that requires advanced technology and innovation. This paper proposes a solution using artificial intelligence (AI) and a permanent magnet synchronous motor (PMSM) to control the robotic arm's movement. A robotic arm with several degrees of freedom, a PMSM to move the arm, and AI algorithms to manage its motion make up the proposed system. The PMSM gives the arm's movements excellent control and enhances the precision and effectiveness of the mineral extraction procedure. The AI algorithms are in charge of directing the robotic arm's motion by examining sensor data and making choices following the situation at hand. The system is capable of adapting to its surroundings to improve the efficiency of mineral extraction. Compared to conventional mining methods, the suggested system has several benefits, including greater safety, increased efficiency, and lower costs. The system can completely transform the mining sector and can be applied in a variety of mining applications. Using a robotic arm and AI technologies, the suggested method offers a novel approach to mineral extraction in mines. The technology has several advantages over conventional mining methods and has the potential to greatly increase the productivity and security of the mining sector.