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对于具有输出错误约束的双臂机器人,对位置和力追踪的规定的时间控制
Heyu Hu1, Shengjun Wen2, Jun Yu3
1Zhongyuan University of Technology, Zhengzhou, 450007, China. huheyu8899@163.com.
Scientific reports
|January 25, 2025
概括
这项研究介绍了一种新的神经适应控制器,用于双臂机器人,在输出约束下处理物体. 控制器确保在指定时间内精确地操纵对象,改进机器人控制系统.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 人工智能的人工智能
背景情况:
- 双臂机器人越来越多地用于复杂的操纵任务.
- 控制具有输出约束的机器人系统,并在特定时间内确保融合,带来了重大挑战.
研究的目的:
- 为双臂机器人开发一种实用的规定的时间控制策略,用于处理具有输出约束的对象.
- 设计一种能够管理位置和接触力的神经适应控制器.
主要方法:
- 机器人系统模型的分解为直角接触力和自由运动模型.
- 使用性能和约束函数转换系统跟踪错误.
- 一个全面的神经适应控制器的设计,具有位置和接触力控制术语.
主要成果:
- 拟议的方法确保系统变量在特定时间内汇聚到预先确定的范围.
- 模拟结果表明神经适应控制器的有效性和优越性.
- 控制器成功地管理双臂机器人处理一个常见的对象.
结论:
- 开发的神经适应控制器为具有输出约束的双臂机器人规定的时间控制提供了强大的解决方案.
- 这种方法提高了合作机器人操纵的精度和时间趋同.
- 该研究通过合作平面机器人的模拟来验证控制器的性能.
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