TY - JOUR
T1 - Multi-AUV Cooperative Navigation Algorithm Based on Temporal Difference Method
AU - Ren, Ranzhen
AU - Zhang, Lichuan
AU - Liu, Lu
AU - Wu, Dongwei
AU - Pan, Guang
AU - Huang, Qiaogao
AU - Zhu, Yuchen
AU - Liu, Yazhe
AU - Zhu, Zixiao
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/7
Y1 - 2022/7
N2 - To reduce the cooperative positioning error and improve the navigation accuracy, a single master–slave AUV cooperative navigation method is proposed in this paper, which mainly focuses on planning the optimal path of the master AUV by the time difference (TD) method, under the premise that the path of the slave AUV has been planned. First, the model of multi-AUV cooperative navigation is established, and the observable problem of the system is analyzed. Second, for the single master–slave AUV cooperative navigation system, a Markov decision process (MDP)-based multi-AUV cooperative navigation model is established, and the master AUV path planning method is designed based on the TD method. Finally, the extended Kalman filter (EKF) and unscented Kalman filter (UKF) nonlinear filtering algorithms are applied to simulate and verify the algorithm that is proposed in this paper. The results show that the theoretical positioning error of the slave AUV can be controlled to about 3.2m by planning the path of the master AUV using the TD method. This method can not only reduce the observation error and positioning error of the slave AUV during the whole cooperative navigation process, but also keep the relative measurement distance between the master AUV and the slave AUV within an appropriate range.
AB - To reduce the cooperative positioning error and improve the navigation accuracy, a single master–slave AUV cooperative navigation method is proposed in this paper, which mainly focuses on planning the optimal path of the master AUV by the time difference (TD) method, under the premise that the path of the slave AUV has been planned. First, the model of multi-AUV cooperative navigation is established, and the observable problem of the system is analyzed. Second, for the single master–slave AUV cooperative navigation system, a Markov decision process (MDP)-based multi-AUV cooperative navigation model is established, and the master AUV path planning method is designed based on the TD method. Finally, the extended Kalman filter (EKF) and unscented Kalman filter (UKF) nonlinear filtering algorithms are applied to simulate and verify the algorithm that is proposed in this paper. The results show that the theoretical positioning error of the slave AUV can be controlled to about 3.2m by planning the path of the master AUV using the TD method. This method can not only reduce the observation error and positioning error of the slave AUV during the whole cooperative navigation process, but also keep the relative measurement distance between the master AUV and the slave AUV within an appropriate range.
KW - cooperative navigation
KW - extended Kalman filter
KW - Markov decision process
KW - temporal difference method
KW - unscented Kalman filter
UR - http://www.scopus.com/inward/record.url?scp=85137326891&partnerID=8YFLogxK
U2 - 10.3390/jmse10070955
DO - 10.3390/jmse10070955
M3 - 文章
AN - SCOPUS:85137326891
SN - 2077-1312
VL - 10
JO - Journal of Marine Science and Engineering
JF - Journal of Marine Science and Engineering
IS - 7
M1 - 955
ER -