Visual servo control for dynamic hovering of an underwater biomimetic vehicle-manipulator system by neural network | |
Rui Wang1,2![]() ![]() ![]() ![]() | |
2017-08-06 | |
会议日期 | 2017.8.6—2017.8.9 |
会议地点 | Takamatsu, Japan |
关键词 | Dynamic Hovering Visual Servo Control Undulatory Fin Image Feature Neural Network. |
英文摘要 |
This paper deals with the problem of dynamic hovering of a bio-inspired robot with undulatory fins. First, the mechanism and dynamic model of the underwater robot named RobCutt-II is briefly introduced. Next, an neural network visual servo control is presented to achieve hovering control. In particular, a dual-loop visual hovering control is designed. At first, we analyze the relationship between the image feature error and the direction of the controllable velocity. In the outer loop, a PID controller is used to calculate the current controllable velocity based on image feature error in real time. Meanwhile, the inverse model of undulatory fins is established using the neural network. The velocity error is hereby mapped to the control parameters of the undulatory fins of the RobCutt-II. The simulation results of dynamic hovering are provided to illustrate the validity of the proposed method.
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内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/21009] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Rui Wang,Yu Wang,Shuo Wang,et al. Visual servo control for dynamic hovering of an underwater biomimetic vehicle-manipulator system by neural network[C]. 见:. Takamatsu, Japan. 2017.8.6—2017.8.9. |
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