Motorized buoy path following based on improved LOS algorithm and Aquila optimizer algorithm

被引:2
作者
Guan, Fengxu [1 ]
Yang, Zipeng [1 ]
Zhang, Xu [1 ]
Huang, Jiawei [1 ]
机构
[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, 145 Nantong St, Harbin, Heilongjiang, Peoples R China
来源
PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2022) | 2022年
关键词
Motorized buoy; Control for course keeping and path following; LOS algorithm; Model predictive control; Aquila Optimizer;
D O I
10.1109/ICMA54519.2022.9856219
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper improves the traditional LOS guidance algorithm and obtains a Los guidance algorithm based on time-varying virtual guidance distance. Through comparative simulation, it is proved that the method is better to solve the guidance angle when designing the path following controller of motorized buoy. On the other hand, in order to reduce the unnecessary energy loss of the motorized buoy, the rudder energy loss of the motorized buoy is taken into account, and a more energy-saving path following controller of the motorized buoy is designed. Aquila optimizer is introduced to complete the solution of the control quantity. Ultimately, through comparative simulation, it is proved that the improved controller can achieve more energy-saving control performance while maintaining superior track control effect.
引用
收藏
页码:376 / 381
页数:6
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