多关节机器人轨迹跟踪的事件触发反馈线性化滑模控制

Jie Zhang, Aihua Zhang, Qian Qian
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引用次数: 4

摘要

为了使多关节机器人轨迹跟踪控制系统资源节约、可靠性高,提出了一种基于反馈线性化滑模控制器(FLSMC)的事件触发控制方案。为了提高系统对未知扰动的鲁棒性,在反馈线性化算法中加入滑模曲面,提出了FLSMC。为了避免控制信号产生中的冗余,引入事件触发控制帧,建立了事件触发条件,控制信号只有在满足条件时才更新,不再需要在每个采样时间频繁地产生固定的周期信号。证明了事件触发FLSMC轨迹跟踪控制系统的稳定性和系统不存在芝诺行为。事件触发方案保证轨迹击中滑动流形并最终保持有界;通过仿真试验验证了理论结果,通信频率和计算频率明显降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event Triggered Feedback Linearization Sliding Mode Control for Trajectory Tracking by Multi-joint Robotic Manipulator
In order to make the multi-joint robotic robot trajectory tracking control system resource-saving and reliable, an event-triggered control scheme based on feedback linearized sliding mode controller (FLSMC) is proposed. To improve the system robustness to unknown disturbances, the FLSMC is presented by adding sliding mode surface to the feedback linearization algorithm. And to avoiding the redundancy in control signal generation, the event-triggering condition is developed by introducing the event-triggered control frame, the control signal is updated only when the condition is satisfied, It is no longer necessary to generate fixed periodic signal frequently at each sampling time. The stability of the event-triggered FLSMC trajectory tracking control system and no Zeno behaviours in the system are proved. The event triggered scheme guarantees the trajectory hits the sliding manifold and remains ultimately bounded; the theoretical results are verified by simulation tests, the frequency of the communication and computation are reduced observably.
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