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机构地区:[1]上海理工大学管理学院,上海200093 [2]f波工程学院理学院,浙江宁波315016 [3]上海理工大学控制科学与工程系,上海200093
出 处:《控制工程》2012年第2期258-261,共4页Control Engineering of China
基 金:国家自然科学基金项目(60874002);上海教委重点项目(09ZZ158);浙江省教育厅项目(T2001016188)
摘 要:具有未校准视觉参数的非完整移动机器人的运动学系统具有参数不确定性,较一般的运动学系统更加复杂。基于视觉反馈、Barbalat's定理和Lyapunov直接方法,研究了具有未标定摄像机参数的非完整移动机器人的轨迹跟踪问题。首先,利用固定在天花板上的针孔摄像机透视投影模型,提出了一种新的基于视觉伺服的移动机器人运动学跟踪误差模型;基于这个模型,提出了一种新的与未知视觉参数无关的动态反馈跟踪控制器.该控制器不仅保证系统的状态渐近跟踪给定参考轨迹,而且控制器是全局的,通过Lyapunov方法严格证明了闭环系统的稳定性。在惯性系和图像坐标系下讨论跟踪问题,使问题变的简单且设计的控制器更加有用。最后,仿真结果证实了所提出的控制器的有效性。Nonholonomic kinematic systems with visual feedback are uncertain and more complex in comparison with common kinematic systems. The trajectory tracking control problem of nonholonomic mobile robots with uncertain camera parameters is addressed based on visual servoing feedback, Barbalat' s theorem and Lyapunov direct method. Firstly, based on the ceiling-mounted fixed pin-hole cam- era perspective projection model, a novel visual servoing kinematic tracking error model of a nonholonomic mobile robot is intro- duced. Based on this model, a dynamic feedback tracking controller is presented. Its tracking controller is independent of uncalibrated visual parameters by using new methods. The proposed controller not only ensures the entire state of the system asymptotically tracks the given trajectory, but also being global. The stability of the closed-loop system is rigorously proved by Lyapunov method. The most inter- esting feature of this paper is that the problem is discussed in the image frame and the inertial frame, which makes the problem easy and useful. Simulation results are provided to illustrate the performance of the control law.
分 类 号:TP27[自动化与计算机技术—检测技术与自动化装置]
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