Finite-Time Synchronous Motion Control for Pneumatic Muscle-Actuated Parallel Robots in Cartesian Space

IF 7.3 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE/ASME Transactions on Mechatronics Pub Date : 2024-09-19 DOI:10.1109/TMECH.2024.3454172
Shuzhen Diao;Gendi Liu;Tong Yang;Menghua Zhang;Yanding Qin;Wei Sun;Ning Sun
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Abstract

Pneumatic muscles, being biomimetic actuators with excellent flexibility and high power density, are highly favored in the field of flexible robots. Nevertheless, the accompanying problems, including high nonlinearities, time-varying parameters, hysteresis, etc., also bring a lot of trouble to their motion control. Moreover, for multiple motion chain systems, such as pneumatic muscle-actuated (PMA) parallel robots, most existing results have not considered the motion synchronization problem among motion chains, adversely affecting the overall motion performance. Therefore, this article develops a synchronous motion control (SMC) method for PMA parallel robots in Cartesian space, which not only guarantees the asymptotic tracking performance of end effectors, but also makes tracking errors and synchronization errors converge to near the origin in the adjustable finite time. Specifically, the proposed method compensates for the synchronization errors of end effectors in the coordinate axis directions, significantly improving motion accuracy; meanwhile, the elaborately modified coupling errors can successfully avoid the singularity problem at special positions. For all our knowledge, this article proposes the first finite-time adaptive SMC method analyzed and designed in Cartesian space, to obtain rapid and accurate tracking performance without prior knowledge of model information. Finally, rigorous theoretical analysis is provided through the extended finite-time stability theorem, and adequate hardware experiments are carried out to verify the feasibility of the proposed method.
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笛卡尔空间中气动肌肉驱动平行机器人的有限时间同步运动控制
气动肌肉作为一种具有优异柔韧性和高功率密度的仿生致动器,在柔性机器人领域备受青睐。然而,伴随而来的高非线性、参数时变、滞后等问题也给它们的运动控制带来了很多麻烦。此外,对于多运动链系统,如气动肌肉驱动(PMA)并联机器人,现有的研究结果大多没有考虑运动链之间的运动同步问题,从而对整体运动性能产生不利影响。因此,本文提出了一种笛卡尔空间PMA并联机器人的同步运动控制方法,既保证了末端执行器的渐近跟踪性能,又使跟踪误差和同步误差在可调的有限时间内收敛到原点附近。具体而言,该方法补偿了末端执行器在坐标轴方向上的同步误差,显著提高了运动精度;同时,精心修正的耦合误差可以成功地避免特殊位置的奇异性问题。就我们所知,本文提出了第一个在笛卡尔空间中分析和设计的有限时间自适应SMC方法,以在不事先了解模型信息的情况下获得快速准确的跟踪性能。最后,通过扩展有限时间稳定性定理进行了严格的理论分析,并进行了充分的硬件实验来验证所提方法的可行性。
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来源期刊
IEEE/ASME Transactions on Mechatronics
IEEE/ASME Transactions on Mechatronics 工程技术-工程:电子与电气
CiteScore
11.60
自引率
18.80%
发文量
527
审稿时长
7.8 months
期刊介绍: IEEE/ASME Transactions on Mechatronics publishes high quality technical papers on technological advances in mechatronics. A primary purpose of the IEEE/ASME Transactions on Mechatronics is to have an archival publication which encompasses both theory and practice. Papers published in the IEEE/ASME Transactions on Mechatronics disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and design through simulation and hardware and software implementation. The Transactions also contains a letters section dedicated to rapid publication of short correspondence items concerning new research results.
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