用于控制应用的空中连续操纵系统的高性能耦合运动学

IF 5.2 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Niloufar Amiri, Farrokh Janabi-Sharifi
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引用次数: 0

摘要

基于coserat杆理论的应变参数化,建立了肌腱驱动空中连续操纵系统的广义离散耦合运动学模型。所提出的模型能够同时控制空中平台的状态和连续体机器人(CR)中所有六种形式的变形,克服了现有模型仅考虑两个方向弯曲的局限性。通过以常规格式导出CR节段的耦合雅可比矩阵,简化了基于运动的控制方案的设计,消除了求解刚性微分代数方程的需要。对比研究表明,该模型在执行具有自定义肌腱路径的基于图像的视觉伺服(IBVS)任务时具有较高的效率。结果表明,该方法优于以往的方法,特别是在跟踪时间效率和复杂的轨迹方面。通过实际空中连续操纵样机的实验研究,验证了该模型和伺服算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-performance coupled kinematics of aerial continuum manipulation systems for control applications
This paper presents a generalized discrete coupled kinematic model for a tendon-driven aerial continuum manipulation system (TD-ACMS) based on the strain parameterization of the Cosserat rod theory. The proposed model enables simultaneous control of both the aerial platform’s states and all six forms of deformation in the segments of the continuum robot (CR), overcoming the limitations of existing models that only consider bending in two directions. By deriving the coupled Jacobian for the CR segments in a conventional format, the design of kinematic-based control schemes is streamlined, eliminating the need to solve stiff differential–algebraic equations. A comparative study highlights the model’s efficiency in executing an image-based visual servoing (IBVS) task with a customized tendon path. The results demonstrate its superiority over previous approaches, particularly in following time-efficient and complex trajectories. The effectiveness of the model and servoing algorithm is validated through an experimental study using a real-world aerial continuum manipulation prototype.
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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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