机械臂机器人延迟双侧遥操作的力位协调

IF 2.2 Q2 AUTOMATION & CONTROL SYSTEMS
Diego D. Santiago, Emanuel Slawiñski, Lucio R. Salinas, Vicente A. Mut
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引用次数: 0

摘要

针对机械臂机器人的延迟双侧遥操作,设计并分析了一种P+d+f (Proportional, Derivative, and Force)变量控制策略,其最终目标是实现触觉装置与机器人之间的力和位置同时协调。该控制器根据在线测量的时间延迟和反馈功率信号来改变阻尼。与其他P+d+f策略不同,该建议避免了控制器中的不连续项,消除了人为和环境力量,也避免了环境参数的明确使用。该方案使用依赖于反馈功率信号的可变阻尼,从而减少动能以确保有界控制误差。通过仿真验证了该控制器在不使用显式非线性阻尼或不需要环境模型参数化知识的情况下实现了双协调,这有助于将该控制器应用于大多数商用机械臂机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Force and position coordination for delayed bilateral teleoperation of a manipulator robot
Abstract This paper focuses on the design and analysis of a P+d+f (Proportional, Derivative, and Force) variable control strategy aimed at delayed bilateral teleoperation of a manipulator robot, the ultimate goal of which is to obtain simultaneous coordination of force and position between the haptic device and the robot. The proposed controller changes the damping based on both the time delay and feedback power signal measured online. Unlike other P+d+f strategies, this proposal avoids terms with discontinuities in the controller, cancellation of human and environment forces and also prevents the explicit use of environment parameters. The proposal uses variable damping dependent on a feedback power signal, which reduces kinetic energy to ensure bounded control errors. Simulations are performed to verify that dual coordination is achieved without using explicit nonlinear damping in the controller or needing the parametric knowledge of the environment model, which is useful to apply the controller to most commercial manipulator robots.
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来源期刊
International Journal of Dynamics and Control
International Journal of Dynamics and Control Mathematics-Control and Optimization
CiteScore
3.90
自引率
0.00%
发文量
176
期刊介绍: The International Journal of Dynamics and Control publishes original research and review articles reporting on theoretical, numerical, and experimental works that advance the knowledge of linear and nonlinear dynamic systems and their control. Topics include modeling, analysis, solution techniques, control strategies, and experimental investigation of mechanical, civil, electrical, electronic, coupled electro-mechanical, and biological systems with complex dynamic characteristics.
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