IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Zhifan Jiang , Zhihua Chen , Kang Xu , Lei Shi
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引用次数: 0

摘要

如何在内部不确定性、外部干扰以及致动器之间相互干扰的情况下提高姿势跟踪性能,是六自由度(DOF)并联机构的一个前景广阔的研究课题。为应对这些挑战,本研究引入了一种协同姿态跟踪控制策略,该策略集成了针对单个致动器的三阶主动干扰抑制控制(ADRC)和针对多个致动器的多代理共识控制。解决了由致动器内部建模不确定性、外部干扰和致动器之间相互干扰导致的姿态跟踪精度降低的问题。并从理论上证明了这种控制方法的稳定性。随后,将该控制策略应用于六轴并联机构,并进行了综合仿真和实验。仿真和实验结果表明,与使用 ADRC 调节单个致动器相比,本文提出的控制策略可减少约 90% 的位置和姿态误差,验证了本文提出的控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed collaborative control to pose tracking for six-DOF parallel mechanism under multi-cylinder communication
Determining how to enhance performance of pose tracking in internal uncertainties, external disturbances, and the mutual interference among actuators is a promising research topic for six-degree-of-freedom (DOF) parallel mechanism. To address these challenges, this study introduces a collaborative pose tracking control strategy that integrates third-order active disturbance rejection control (ADRC) for a single actuator and multi-agent consensus control for multiple actuators. Solved the problem of reduced pose tracking accuracy caused by internal modeling uncertainty of actuators, external interference, and mutual interference between actuators. And the stability of this control approach is theoretically proven. Subsequently, the control strategy is implemented on a six-DOF parallel mechanism for comprehensive simulation and experimental. Simulation and experimental results show that compared with using an ADRC to regulate a single actuator, the proposed control strategy reduces position and attitude errors by about 90%, verifying the effectiveness of the control strategy proposed in this paper.
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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