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Line-of-sight strategy-based path-following system for a multi-joint robotic fish
Dai, Shijie(戴时捷)1,2; Chao Zhou4; Zhengxing Wu2; Min Tan2; Junzhi Yu2,3
2020
会议名称2020 IEEE International Conference on Real-time Computing and Robotics (RCAR)
会议日期28-29 September 2020
会议地点Asahikawa, Japan
摘要

This paper proposes a real-time path-following control system for a multi-joint robotic fish. The mechanical structure and dynamic model of the robotic fish for pathfollowing are first described. Then, the framework of the path-following control algorithm is established based on the built dynamic model, including a modified line-of-sight (LOS) guidance law, an active disturbance rejection control (ADRC)based heading controller and a proportional-integral-derivative (PID)-based speed controller. Specially, the modified LOS strategy is designed to select the tracking points and also provide the desired heading angle. Afterwards, to overcome systematic uncertainties and environmental disturbances, the ADRC method is adopted to design the heading controller. Meanwhile, the PID controller is also developed to maintain an appropriate swimming speed. Finally, simulations in both linear-and circular-path following are presented to validate the effectiveness of the proposed method.

收录类别EI
七大方向——子方向分类智能机器人
国重实验室规划方向分类水下仿生机器人
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/52019
专题复杂系统认知与决策实验室_先进机器人
作者单位1.中国科学院大学人工智能学院
2.中国科学院自动化研究所复杂系统管理与控制国家重点实验室
3.北京大学北京大学湍流与复杂系统国家重点实验室
4.中国人民解放军海军研究院
第一作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Dai, Shijie,Chao Zhou,Zhengxing Wu,et al. Line-of-sight strategy-based path-following system for a multi-joint robotic fish[C],2020.
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