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荷载不确定移动机器人视觉伺服系统鲁棒预测控制
引用本文:邢科新,倪伟琦,何德峰. 荷载不确定移动机器人视觉伺服系统鲁棒预测控制[J]. 控制理论与应用, 2022, 39(2): 327-335
作者姓名:邢科新  倪伟琦  何德峰
作者单位:浙江工业大学信息工程学院,浙江杭州310023
基金项目:国家自然科学基金项目(61773345), 浙江省重点研发计划项目(2020C03056)资助.
摘    要:考虑具有可见性约束和执行器约束的载荷不确定移动机器人视觉伺服系统,提出一种鲁棒视觉伺服预测控制策略.首先将该移动机器人视觉伺服系统建模为关于视觉伺服误差和驱动的不确定系统.其次,对约束的视觉伺服误差子系统,设计基于半正定规划的速度规划预测控制算法.该算法分为离线计算和在线调度两个部分,降低预测控制算法的在线计算量.而对...

关 键 词:移动机器人  视觉伺服  模型预测控制  约束  鲁棒稳定性
收稿时间:2020-12-22
修稿时间:2021-12-07

Robust predictive control of visual servoing systems of mobile robots with load uncertainty
XING Ke-xin,NI Wei-qi and HE De-feng. Robust predictive control of visual servoing systems of mobile robots with load uncertainty[J]. Control Theory & Applications, 2022, 39(2): 327-335
Authors:XING Ke-xin  NI Wei-qi  HE De-feng
Affiliation:College of Information Engineering, Zhejiang University of Technology,College of Information Engineering, Zhejiang University of Technology,College of Information Engineering, Zhejiang University of Technology
Abstract:The paper presents a robust visual servo predictive control scheme for visual servoing systems of mobilerobots subject to visibility and actuator constraints and load uncertainty. Firstly, the visual servoing system of mobile robotsis modelled as an uncertain system on visual servoing errors and driving. Secondly, the speed programming predictivecontrol algorithm based on semi-definite programming is designed for the constrained visual servoing error subsystem. Thisalgorithm is divided into two parts: offline computing and online scheduling, which reduces the online computational burdenof the predictive control algorithm. The quasi-min-max robust predictive control algorithm is designed for the constrainedvisual servoing driving subsystem. The asymptotic tracking of the planning speed of the visual servo error subsystem isthen realized. Moreover, the robust asymptotic stability result on the visual servoing errors and driving system of mobilerobots with load uncertainty is established. Finally, some simulation results verify the effectiveness and superiority of theproposed strategy
Keywords:mobile robots   visual servoing   model predictive control   constraints   robust stability
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