Modeling and control for a long-stroke 4-PPR compliant parallel mechanism

IF 2.1 Q3 ROBOTICS
Jianze Ren, Chi Zhang, Miao Yang, Liming Yuan, Na Sang, Jianhua Yao
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引用次数: 0

Abstract

Long-stroke compliant parallel mechanisms (CPMs) are widely used in precision applications. However, stress stiffening and sensitivity to external disturbances in CPMs present challenges in the design of controller. In this paper, the nonlinear stiffness model of the stage is established which is incorporated into the dynamic model. In particular, the method of adaptive nonsingular fast terminal sliding mode control (ANFTSMC) is developed based on the dynamic model. This method addresses the problems of the system parameter uncertainty and the slow convergence of traditional sliding mode control (SMC) at the equilibrium point. The stability of the presented ANFTSMC strategy has been proved based on the Lyapunov analysis. Finally, the proposed control architecture is implemented on the designed 4-prismatic-prismatic-revolute (4-PPR) CPM. The results demonstrate that the developed method exhibits excellent tracking accuracy and robustness compared to the traditional linear sliding mode control (LSMC) and proportional-integral-derivative (PID) control.

Abstract Image

长冲程 4-PPR 兼容并联机构的建模与控制
长冲程顺从并联机构(CPM)被广泛应用于精密领域。然而,CPM 的应力刚度和对外部干扰的敏感性给控制器的设计带来了挑战。本文建立了平台的非线性刚度模型,并将其纳入动态模型中。特别是,基于动态模型开发了自适应非奇异快速终端滑模控制(ANFTSMC)方法。该方法解决了系统参数不确定性和传统滑模控制(SMC)在平衡点收敛慢的问题。基于 Lyapunov 分析,证明了所提出的 ANFTSMC 策略的稳定性。最后,在设计的 4-prismatic-prismatic-revolute (4-PPR) CPM 上实现了所提出的控制架构。结果表明,与传统的线性滑模控制(LSMC)和比例-积分-派生(PID)控制相比,所开发的方法具有出色的跟踪精度和鲁棒性。
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来源期刊
CiteScore
3.80
自引率
5.90%
发文量
50
期刊介绍: The International Journal of Intelligent Robotics and Applications (IJIRA) fosters the dissemination of new discoveries and novel technologies that advance developments in robotics and their broad applications. This journal provides a publication and communication platform for all robotics topics, from the theoretical fundamentals and technological advances to various applications including manufacturing, space vehicles, biomedical systems and automobiles, data-storage devices, healthcare systems, home appliances, and intelligent highways. IJIRA welcomes contributions from researchers, professionals and industrial practitioners. It publishes original, high-quality and previously unpublished research papers, brief reports, and critical reviews. Specific areas of interest include, but are not limited to:Advanced actuators and sensorsCollective and social robots Computing, communication and controlDesign, modeling and prototypingHuman and robot interactionMachine learning and intelligenceMobile robots and intelligent autonomous systemsMulti-sensor fusion and perceptionPlanning, navigation and localizationRobot intelligence, learning and linguisticsRobotic vision, recognition and reconstructionBio-mechatronics and roboticsCloud and Swarm roboticsCognitive and neuro roboticsExploration and security roboticsHealthcare, medical and assistive roboticsRobotics for intelligent manufacturingService, social and entertainment roboticsSpace and underwater robotsNovel and emerging applications
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