Intelligent optimization of path control and accuracy enhancement of industrial robots using the DE algorithm | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از 09 آبان 1404 اصل مقاله (424.76 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.35433.5278 | ||
| نویسندگان | ||
| Mohsen Madadi* ؛ Reza Etesami | ||
| Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| چکیده | ||
| This paper introduces the optimization of path control and accuracy enhancement of industrial robots using the Differential Evolution (DE) algorithm. DE, known for its simplicity and adaptability, efficiently minimizes path deviation, energy consumption, and accuracy errors, outperforming traditional methods like PID and MPC. Using a two-degree-of-freedom articulated robot model, the DE algorithm demonstrated superior performance in reducing time and energy costs while improving accuracy in complex environments. The results highlight DE’s potential for precision-critical tasks such as assembly and welding, offering a robust and flexible alternative for industrial applications. Future research will focus on extending DE’s capabilities to more complex robotic systems and refining its parameter tuning for enhanced performance in diverse operational settings. | ||
| کلیدواژهها | ||
| Differential Evolution؛ Industrial Robots؛ Path Control Optimization؛ Accuracy Enhancement؛ Metaheuristic Algorithms؛ Robotics Performance؛ Automation | ||
| مراجع | ||
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