Energy efficiency in the robot arm using genetic algorithm

摘要

Robotics and automation can increase safety, production, efficiency, and product quality in many cases. Robots, including mechanical arms, have evolved substantially over recent years. The mechanical arms have the ability to perform various pre-planned operations in various industries. Therefore, they require faster, more accurate and better control. On the other hand, optimizing energy consumption is one of the major concerns of all societies and industries today. In this paper, we want to minimize the energy consumption of arm robots by optimizing energy consumption and using optimized control algorithms and control systems. We plan to design a path with optimal energy consumption for a robotic arm, which has certain characteristics and limitations such as speed and acceleration limitations and limitations, such as the existence of obstacles. Optimizing the energy consumption of this robot is carried out along its path through optimal control. In order to optimize the above-mentioned controller parameters, an optimization algorithm is used in this research, which is one of the most valid and most used optimization algorithms. To validate the results of applying the control system on the robot, we simulate the performance results, and ultimately discuss the output data from this evaluation.