基于ANSTSMC的欠驱动机械臂轨迹跟踪控制
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TP273

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湖南省重点领域研发计划基金资助项目(2022GK2068);湖南省自然科学基金省市联合基金资助项目(2021JJ50053)


Tracking Control of Underactuated Manipulators Based on ANSTSMC
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    摘要:

    针对欠驱动机械臂难控制问题,提出了一种综合稳定控制策略,该策略能够在存在不确定振动干扰的工况下保障系统稳定运行。首先,采用 D-H 参数法与拉格朗日法,建立了考虑系统不确定非线性特性的欠驱动机械臂动力学模型。其次,针对机械臂在复杂环境中承受的不确定性干扰,设计了基于自适应非奇异快速终端滑模控(ANSTSMC)的轨迹跟踪控制器,该控制器依托自适应控制律,可实时检测并预估外界干扰及系统自身的抖振信号。同时,基于李雅普诺夫稳定性理论对系统稳定性进行分析,结果表明,所设计的控制器能够确保系统在有限时间内实现快速收敛。仿真实验结果验证了所提方法的有效性,且结果显示,该控制策略可在系统失稳状态下实现机械臂的精准轨迹跟踪,有效提升系统整体性能,推动机械臂快速恢复稳定运行状态。

    Abstract:

    A comprehensive stable control strategy has been proposed to address the control challenges of under-actuated robotic arms, which can ensure stable system operation in the presence of uncertain vibration disturbances. Firstly, based on the Denavit-Hartenberg (D-H) method and Lagrangian mechanics, a dynamic model is established to capture the uncertain nonlinear dynamics of the under-actuated manipulator. Secondly, a trajectory tracking controller is designed based on ANSTSMC (adaptive non-singular fast terminal sliding mode control) to address the uncertain disturbances experienced by robotic arms in complex environments. Under the proposed adaptive control law, external disturbances and inherent chattering effects can be estimated and compensated in real time. Meanwhile, based on the Lyapunov stability theory, a system stability analysis is conducted, with the analysis results showing that the designed controller can ensure rapid convergence of the system within a finite time. The simulation experiment results have verified the effectiveness of the proposed method. The results show that the control strategy can achieve precise trajectory tracking of the robotic arm in the unstable state of the system, effectively improve the overall performance of the system, and promote the rapid recovery of the robotic arm to a stable operating state.

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曾 鑫,孙友鹏,孙 晓,罗剑宾.基于ANSTSMC的欠驱动机械臂轨迹跟踪控制[J].湖南工业大学学报,2026,40(4):1-7.

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  • 在线发布日期: 2026-02-06
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