面向智能制造的多轴机械臂柔性控制与调度优化研究
Research on Flexible Control and Scheduling Optimization of Multi-axis Mechanical Arm for Intelligent Manufacturing
胡善明1
作者信息
- 1. 广州臻臻乐科技应用有限公司,广州 510030
- 折叠
摘要
智能制造的快速发展对多轴机械臂的控制与调度提出了更高的要求.因此,研究一种基于机器学习和自适应控制的柔性控制方法,旨在提升多轴机械臂在复杂路径跟踪中的准确性和适应性.通过引入深度学习模型和自适应路径调整机制,该方法能够实时响应环境变化,优化路径规划.仿真结果表明,与传统控制方法相比,柔性控制方法在处理复杂路径和突变节点时具有更高的精度和稳定性,可为多轴机械臂在智能制造中的应用提供理论基础和技术支持.
Abstract
The rapid development of intelligent manufacturing has raised higher requirements for the control and scheduling of multi-axis robotic arms.This paper investigates a flexible control method based on machine learning and adaptive control,aiming to improve the accuracy and adaptability of multi-axis robotic arms in complex path tracking.By incorporating deep learning models and adaptive path adjustment mechanisms,this method can respond to environmental changes in real-time and optimize path planning.Simulation results show that compared to traditional control methods,the flexible control method exhibits higher precision and stability in handling complex paths and sudden changes.This research provides a theoretical foundation and technical support for the application of multi-axis robotic arms in intelligent manufacturing.
关键词
智能制造/多轴机械臂/柔性控制/自适应控制Key words
intelligent manufacturing/multi-axis robotic arm/flexible control/adaptive control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据