Research on intelligent heading control strategy for unmanned surface vehicle

Zhiqiang Liu; Shizhen Zhang; Xi Ye; Tao Bian

doi:10.1117/12.2640869

2 December 2022 Research on intelligent heading control strategy for unmanned surface vehicle

Zhiqiang Liu, Shizhen Zhang, Xi Ye, Tao Bian

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 1228824 (2022) https://doi.org/10.1117/12.2640869
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

Aiming at the stability problem of unmanned surface vehicle (USV) heading system, an intelligent heading control strategy based on improved genetic algorithm is proposed considering the defects of poor robustness and low control accuracy of conventional PID control. First, the second-order nonlinear Nomoto response model of the USV is used to design the heading controller. Then, the genetic algorithm is used to optimize the heading controller parameters, and the adaptive crossover operator and variational operator are designed in the traditional genetic algorithm, and the improved genetic algorithm is applied to the USV intelligent heading control system. Finally, the optimization effect of the genetic algorithm on the heading controller before and after the improvement is compared and analyzed, and the simulation results show that the improved genetic algorithm effectively improves the response speed and control accuracy of the system.

Citation Download Citation

Zhiqiang Liu, Shizhen Zhang, Xi Ye, and Tao Bian "Research on intelligent heading control strategy for unmanned surface vehicle", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 1228824 (2 December 2022); https://doi.org/10.1117/12.2640869

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available