Obstacle Avoidance and Simulation of Carrier-Based Aircraft on the Deck of Aircraft Carrier

Authors

Junxiao Xue, 1.School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450002, China;Follow
Xiangyan Kong, 1.School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450002, China;Follow
Bowei Dong, 2.School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China;
Hao Tao, 3.China Ship Research and Design Center, Wuhan 430064, China;
Haiyang Guan, 2.School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China;
Lei Shi, 1.School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450002, China;
Mingliang Xu, 2.School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China;

Abstract

Abstract: A predictive depth deterministic policy gradient (PDDPG) algorithm is proposed by combining the least squares method with deep deterministic policy gradient(DDPG) for the problems of strong randomness, poor real-time performance, and slow planning speed by obstacle avoidance on aircraft carrier deck. The short-term trajectory of dynamic obstacles on the deck is predicted by the least square method. DDPG is used to provide agents with the ability to learn and make decisions in continuous space by the short-term trajectory of dynamic obstacles. The reward function is set based on the artificial potential field to improve the convergence speed and accuracy of the algorithm. A high dynamic complex scene of aircraft carrier deck is constructed using unity 3D to simulate experiments of obstacle avoidance method. The experimental results show that the method can accurately realize the hybrid obstacle avoidance of carrier aircraft on the aircraft carrier deck, and the accuracy is improved by 7% ~ 30% compared with other methods. Compared with deep Q network (DQN), the path length and turning angle are reduced by 100 units and 400o~450o respectively.

Recommended Citation

Xue, Junxiao; Kong, Xiangyan; Dong, Bowei; Tao, Hao; Guan, Haiyang; Shi, Lei; and Xu, Mingliang (2023) "Obstacle Avoidance and Simulation of Carrier-Based Aircraft on the Deck of Aircraft Carrier," Journal of System Simulation: Vol. 35: Iss. 3, Article 13.
DOI: 10.16182/j.issn1004731x.joss.21-1145
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss3/13

First Page

592

Revised Date

2022-01-18

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-1145

Last Page

603

CLC

TP 391.9

Recommended Citation

Junxiao Xue, Xiangyan Kong, Bowei Dong, Hao Tao, Haiyang Guan, Lei Shi, Mingliang Xu. Obstacle Avoidance and Simulation of Carrier-Based Aircraft on the Deck of Aircraft Carrier[J]. Journal of System Simulation, 2023, 35(3): 592-603.

Corresponding Author

Xiangyan Kong,m15537229290@163.com

DOI

10.16182/j.issn1004731x.joss.21-1145