Observability Degree-Based AUV Single Beacon Navigation Trajectory Optimization with Range-Only Measurements

Author:

Yu Huapeng1ORCID,Zhou Xu234

Affiliation:

1. National Innovation Institute of Defense Technology, Academy of Military Sciences PLA China, Beijing 100010, China

2. College of IoT Engineering, Hohai University, Changzhou 213022, China

3. Changzhou Key Laboratory of Robotics and Intelligent Technology, Hohai University, Changzhou 213022, China

4. Jiangsu Key Laboratory of Special Robotics, Hohai University, Changzhou 213022, China

Abstract

Aiming at the problem of autonomous underwater vehicle navigation trajectory optimization using single beacon location under direct route condition, a nonlinear system model for AUV single beacon navigation is established, and the linearized system model with error states is constructed by polar coordinate transformation and simplification. Then, current disturbance is considered. To find out the optimum path to utilize range-only measurements, a novel observability degree-based analysis method is proposed, which gives a quantitative insight into convergence characteristics of the error states by using the eigenvalues of the normalized error covariance matrix. Simulation experiments are done to test convergence characteristics of AUV integrated navigation error states with single beacon range-only measurements under direct route control conditions. The experimental results show that the proposed control method is effective, and it has an important engineering application value and provides us with an optimized path.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Case Study on Three-Dimensional Single-Beacon Localization for Autonomous Underwater Vehicles;IOP Conference Series: Materials Science and Engineering;2019-10-01

2. A Spatial-Temporal Optimization Approach to Navigating the Autonomous Underwater Vehicles;2019 5th International Conference on Control, Automation and Robotics (ICCAR);2019-04

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