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一种基于终端滑模的具有非线性刚度关节的柔顺机器人轨迹跟踪控制方法

A Trajectory Tracking Control Based on a Terminal Sliding Mode for a Compliant Robot with Nonlinear Stiffness Joints.

作者信息

Song Zhibin, Ma Tianyu, Qi Keke, Spyrakos-Papastavridis Emmanouil, Zhang Songyuan, Kang Rongjie

机构信息

Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin 300072, China.

School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.

出版信息

Micromachines (Basel). 2022 Mar 4;13(3):409. doi: 10.3390/mi13030409.

Abstract

A nonlinear stiffness actuator (NSA) can achieve high torque/force resolution in the low stiffness range and high bandwidth in the high stiffness range. However, for the NSA, due to the imperfect performance of the elastic mechanical component such as friction, hysteresis, and unmeasurable energy consumption caused by former factors, it is more difficult to achieve accurate position control compared to the rigid actuator. Moreover, for a compliant robot with multiple degree of freedoms (DOFs) driven by NSAs, the influence of every NSA on the trajectory of the end effector is different and even coupled. Therefore, it is a challenge to implement precise trajectory control on a robot driven by such NSAs. In this paper, a control algorithm based on the Terminal Sliding Mode (TSM) approach is proposed to control the end effector trajectory of the compliant robot with multiple DOFs driven by NSAs. This control algorithm reduces the coupling of the driving torque, and mitigates the influence of parametric variation. The closed-loop system's finite time convergence and stability are mathematically established via the Lyapunov stability theory. Moreover, under the same experimental conditions, by the comparison between the Proportion Differentiation (PD) controller and the controller using TSM method, the algorithm's efficacy is experimentally verified on the developed compliant robot. The results show that the trajectory tracking is more accurate for the controller using the TSM method compared to the PD controller.

摘要

非线性刚度执行器(NSA)在低刚度范围内可实现高扭矩/力分辨率,在高刚度范围内可实现高带宽。然而,对于NSA而言,由于诸如摩擦、滞后等弹性机械部件的性能不完善以及由这些因素导致的不可测量的能量消耗,与刚性执行器相比,实现精确的位置控制更加困难。此外,对于由NSA驱动的具有多个自由度(DOF)的柔顺机器人,每个NSA对末端执行器轨迹的影响是不同的,甚至是耦合的。因此,对由这种NSA驱动的机器人实施精确的轨迹控制是一项挑战。本文提出了一种基于终端滑模(TSM)方法的控制算法,用于控制由NSA驱动的具有多个自由度的柔顺机器人的末端执行器轨迹。该控制算法减少了驱动扭矩的耦合,并减轻了参数变化的影响。通过李雅普诺夫稳定性理论在数学上建立了闭环系统的有限时间收敛性和稳定性。此外,在相同的实验条件下,通过比例微分(PD)控制器与采用TSM方法的控制器之间的比较,在开发的柔顺机器人上通过实验验证了该算法的有效性。结果表明,与PD控制器相比,采用TSM方法的控制器的轨迹跟踪更精确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d8c/8951521/fc114f8baf40/micromachines-13-00409-g001.jpg

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