Real-time Trajectory Planning and Tracking Control of Bionic Underwater Robot in Dynamic Environment

Author:

Ding Feng12,Wang Rui12ORCID,Zhang Tiandong1,Zheng Gang3,Wu Zhengxing1,Wang Shuo124

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

2. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.

3. Centrale Lille, CRIStAL-Centre de Recherche en Informatique Signal et Automatique de Lille, University of Lille, 59000 Lille, France.

4. Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.

Abstract

In this article, we study the trajectory planning and tracking control of a bionic underwater robot under multiple dynamic obstacles. We first introduce the design of the bionic leopard cabinet underwater robot developed in our lab. Then, we model the trajectory planning problem of the bionic underwater robot by combining its dynamics and physical constraints. Furthermore, we conduct global trajectory planning for bionic underwater robots based on the temporal-spatial Bezier curves. In addition, based on the improved proximal policy optimization, local dynamic obstacle avoidance trajectory replanning is carried out. In addition, we design the fuzzy proportional-integral-derivative controller for tracking control of the planned trajectory. Finally, the effectiveness of the real-time trajectory planning and tracking control method is verified by comparative simulation in dynamic environment and semiphysical simulation of UWSim. Among them, the real-time trajectory planning method has advantages in trajectory length, trajectory smoothness, and planning time. The error of trajectory tracking control method is controlled around 0.2 m.

Funder

the National Natural Science Foundation of China

the Beijing Nova Program

Publisher

American Association for the Advancement of Science (AAAS)

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