Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion
Pursuer navigation is proposed based on the three-dimensional proportional navigation law, and this method presents a family of navigation laws resulting in a rich behavior for different parameters. Firstly, the kinematics model for the pursuer and the target is established. Secondly, the proportion...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6245168 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832549645764526080 |
|---|---|
| author | Shulin Feng Zhanxin Li Li Liu Hongyong Yang Yuanhua Yang Gaohuan Lv Liang Yang |
| author_facet | Shulin Feng Zhanxin Li Li Liu Hongyong Yang Yuanhua Yang Gaohuan Lv Liang Yang |
| author_sort | Shulin Feng |
| collection | DOAJ |
| description | Pursuer navigation is proposed based on the three-dimensional proportional navigation law, and this method presents a family of navigation laws resulting in a rich behavior for different parameters. Firstly, the kinematics model for the pursuer and the target is established. Secondly, the proportional navigation law is deduced through the kinematics model. Based on point-to-point navigation, obstacle avoidance is implemented by adjusting the control parameters, and the combination can enrich the application range of obstacle avoidance and guidance laws. Thirdly, information fusion weighted by diagonal matrices is used for decreasing the tracking precision. Finally, simulations are conducted in the MATLAB environment. Simulation results verify the availability of the proposed navigation law. |
| format | Article |
| id | doaj-art-446f61f5a560448bbf0eb27341dd5c56 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-446f61f5a560448bbf0eb27341dd5c562025-02-03T06:10:45ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/62451686245168Pursuer Navigation Based on Proportional Navigation and Optimal Information FusionShulin Feng0Zhanxin Li1Li Liu2Hongyong Yang3Yuanhua Yang4Gaohuan Lv5Liang Yang6School of Information and Electrical Engineering, Ludong University, Yantai 264025, ChinaTianjin Key Laboratory of Microgravity and Hypogravity Environment Simulation Technology, Tianjin 300000, ChinaSchool of Information and Electrical Engineering, Ludong University, Yantai 264025, ChinaSchool of Information and Electrical Engineering, Ludong University, Yantai 264025, ChinaSchool of Mathematics and Statistics Science, Ludong University, Yantai 264025, ChinaUlsan Ship and Ocean College, Ludong University, Yantai 264025, ChinaSchool of Information and Electrical Engineering, Ludong University, Yantai 264025, ChinaPursuer navigation is proposed based on the three-dimensional proportional navigation law, and this method presents a family of navigation laws resulting in a rich behavior for different parameters. Firstly, the kinematics model for the pursuer and the target is established. Secondly, the proportional navigation law is deduced through the kinematics model. Based on point-to-point navigation, obstacle avoidance is implemented by adjusting the control parameters, and the combination can enrich the application range of obstacle avoidance and guidance laws. Thirdly, information fusion weighted by diagonal matrices is used for decreasing the tracking precision. Finally, simulations are conducted in the MATLAB environment. Simulation results verify the availability of the proposed navigation law.http://dx.doi.org/10.1155/2021/6245168 |
| spellingShingle | Shulin Feng Zhanxin Li Li Liu Hongyong Yang Yuanhua Yang Gaohuan Lv Liang Yang Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion Complexity |
| title | Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion |
| title_full | Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion |
| title_fullStr | Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion |
| title_full_unstemmed | Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion |
| title_short | Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion |
| title_sort | pursuer navigation based on proportional navigation and optimal information fusion |
| url | http://dx.doi.org/10.1155/2021/6245168 |
| work_keys_str_mv | AT shulinfeng pursuernavigationbasedonproportionalnavigationandoptimalinformationfusion AT zhanxinli pursuernavigationbasedonproportionalnavigationandoptimalinformationfusion AT liliu pursuernavigationbasedonproportionalnavigationandoptimalinformationfusion AT hongyongyang pursuernavigationbasedonproportionalnavigationandoptimalinformationfusion AT yuanhuayang pursuernavigationbasedonproportionalnavigationandoptimalinformationfusion AT gaohuanlv pursuernavigationbasedonproportionalnavigationandoptimalinformationfusion AT liangyang pursuernavigationbasedonproportionalnavigationandoptimalinformationfusion |