强大的控制机器人操纵器动态与两个阶段算法的最佳和整体滑动模式的方法
Irfan Ali1, Mohsan Hassan2, Zarqa Bano1
1Department of Applied Mathematics and Social Sciences, Sukkur IBA University, Sukkur, 65200, Pakistan.
Scientific reports
|October 21, 2025
概括
本研究介绍了面临负载不确定性和干扰的机器人操纵器的两阶段稳健控制方法. 该方法确保了稳定的系统性能和精确的动态响应在工业环境中.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制理论 控制理论
- 非线性系统是非线性系统.
背景情况:
- 机器人操纵器具有复杂的非线性动力学.
- 诸如外部干扰和不同负载之类的不确定性对控制和模拟准确性构成挑战.
- 强大的控制对于可靠的工业机器人应用至关重要.
研究的目的:
- 为机器人操纵器提供一种新的两阶段强大的最佳控制策略.
- 为了有效地解决负载质量的不确定性和外部干扰.
- 在机器人系统中确保强大的稳定性和准确的动态响应.
主要方法:
- 开发了一种两阶段的控制方法.
- 阶段1:线性二次调节器 (LQR) 具有针对有效载荷变化的优化重量.
- 第二阶段:混合动力强大的最佳控制和整体滑动模式控制 (ISMC) 对于不确定性和干扰.
主要成果:
- 拟议的控制方法在一个双关节的SCARA机器人上得到了验证.
- 模拟分析包括不同有效载荷和干扰下的角位移,速度和联合扭矩.
- 结果显示了稳定的收和强大的系统性能.
结论:
- 新的两阶段强大的最佳控制方法有效地管理有效载荷的不确定性和外部干扰.
- 该方法确保了机器人操纵器在各种操作条件下具有强大的稳定性.
- 阶段肖像证实了非线性系统的稳定性和趋同.
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