基于高阶滑模观测器的末端超扭滑模二自由度下肢系统

T. Tran, V. T. Duong, Huy Hung Nguyen, T. Nguyen
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摘要

本文以仿人机器人下肢为灵感,提出了一种具有高阶滑模观测器(HOSMO)的反步末端超扭转滑模(TSTSM)来控制两自由度串联弹性作动器(SEA)。首先,在前人研究的基础上,提出了用于开发控制算法的动态模型。其次,利用回溯技术将整个系统分离为两个子系统。SEA的挑战之一是如何处理由弹性元件引起的明显的振荡,这可能导致载荷位置控制性能的下降。为了减少这种不利影响,提出了一种TSTSM来控制两个子系统的位置跟踪。TSTSM的优点是在有界扰动的情况下具有有限时间收敛性和显著减少抖振现象。为了构造和实现TSTSM控制器,需要了解所有状态,这在目前的下肢系统设置中是不具备的。因此,利用HOSMO来估计未知状态。最后,通过实验验证了所提控制器的有效性,并与不同控制方案进行了比较。
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Terminal super-twisting sliding mode based on high order sliding mode observer for two DOFs lower limb system
In this paper, a novel backstepping terminal super-twisting sliding mode (TSTSM) with high order sliding mode observer (HOSMO) is proposed to control the two degrees of freedom (DOFs) Serial Elastic Actuator (SEA), inspired by a lower limb of humanoid robots. First, the dynamic model, extended from our previous study, is presented for developing the control algorithm. Secondly, the backstepping technique is utilized to separate the overall system into two subsystems. One of the challenges of SEA is to deal with the evident oscillations caused by the elastic element, which might lead to the degrading performance of load position control. In order to reduce this adverse effect, a TSTSM is proposed to control the position tracking of two subsystems. The advantages of TSTSM are the finite-time convergence despite the bounded perturbation and the dramatic reduction of the chattering phenomenon. To construct and implement the TSTSM controller, it requires the knowledge of all states, which is not available in the current lower limb system setup. Therefore, a HOSMO is utilized to estimate the unknown states. Finally, experiment results are carried out to assess the effectiveness of the proposed controller and compare it with those of different control schemes.
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