Lou Ya'nan, Lin Haoyu, Quan Pengkun, Wei Dongbo, Di Shichun
School of Mechatronics Engineering, Harbin Institute of Technology, 150001 Harbin, China.
Sensors (Basel). 2021 Feb 25;21(5):1623. doi: 10.3390/s21051623.
The structure of the cable-driven serial manipulator (CDSM) is more complex than that of the cable-driven parallel manipulator (CDPM), resulting in higher model complexity and stronger structural and parametric uncertainties. These drawbacks challenge the stable trajectory-tracking control of a CDSM. To circumvent these drawbacks, this paper proposes a robust adaptive controller for an -degree-of-freedom (DOF) CDSM actuated by cables. First, two high-level controllers are designed to track the joint trajectory under two scenarios, namely known and unknown upper bounds of uncertainties. The controllers include an adaptive feedforward term based on inverse dynamics and a robust control term compensating for the uncertainties. Second, the independence of control gains from the upper bound of uncertainties and the inclusion of the joint viscous friction coefficient into the dynamic parameter vector are realised. Then, a low-level controller is designed for the task of tracking the cable tension trajectory. The system stability is analysed using the Lyapunov method. Finally, the validity and effectiveness of the proposed controllers are verified by experimenting with a three-DOF six-cable CDSM. In addition, a comparative experiment with the classical proportional-integral-derivative (PID) controller is carried out.
绳索驱动串联机器人(CDSM)的结构比绳索驱动并联机器人(CDPM)更复杂,导致其模型复杂度更高,结构和参数不确定性更强。这些缺点给CDSM的稳定轨迹跟踪控制带来了挑战。为了克服这些缺点,本文提出了一种用于由 根绳索驱动的 自由度CDSM的鲁棒自适应控制器。首先,设计了两个高级控制器,用于在两种情况下跟踪关节轨迹,即不确定性上界已知和未知的情况。这些控制器包括基于逆动力学的自适应前馈项和补偿不确定性的鲁棒控制项。其次,实现了控制增益与不确定性上界的独立性,并将关节粘性摩擦系数纳入动态参数向量。然后,设计了一个低级控制器用于跟踪绳索张力轨迹的任务。使用李雅普诺夫方法分析了系统稳定性。最后,通过对一个三自由度六绳索CDSM进行实验,验证了所提出控制器的有效性和实用性。此外,还与经典的比例积分微分(PID)控制器进行了对比实验。