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视觉伺服系统的深度估计自适应控制研究
The Research on Nonlinear Depth Adaptation Control of Visual Servo System
【摘要】 主要就机器人视觉伺服控制系统中的自适应深度估计问题进行了研究,对基于李亚普诺夫直接设计方法构造的深度估计自适应控制方法进行了可控性及稳定性分析,结果证明系统在自适应控制规律作用下能够渐进稳定。针对GRB-400四自由度机器人视觉伺服系统进行了仿真,仿真结果说明了算法的有效性。
【Abstract】 A novel adaptive visual feedback scheme was presented to solve the problem of controlling the relative pose between a robot camera and an object of interest.The visual servo system was proved to be asymptotic stable by using the Lyapumov direct method,and uniform boundedness of the whole state vector was ensured by using an adaptive nonlinear control scheme,in case of unkown object depth.The simulation results with a 4-DOF GRB-400 robot manipulator demonstrate the validity of the algorithms.
【关键词】 基于图像;
视觉伺服;
可控性;
稳定性分析;
深度自适应;
【Key words】 Image-based; Visual servo; Controllability; Stability analysics; Nonlinear depth adaptation;
【Key words】 Image-based; Visual servo; Controllability; Stability analysics; Nonlinear depth adaptation;
【基金】 国家自然科学基金资助项目(60175026)
- 【文献出处】 机床与液压 ,Machine Tool & Hydraulics , 编辑部邮箱 ,2005年07期
- 【分类号】TP242
- 【下载频次】181