Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion
| Autor: | Hongyong Yang, Zhanxin Li, Li Liu, Yuanhua Yang, Liang Yang, Shulin Feng, Gaohuan Lv |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multidisciplinary
General Computer Science Article Subject Computer science Pursuer QA75.5-76.95 Kinematics Tracking (particle physics) Computer Science::Robotics Control theory Electronic computers. Computer science Obstacle avoidance Diagonal matrix Range (statistics) Proportional navigation MATLAB computer computer.programming_language |
| Zdroj: | Complexity, Vol 2021 (2021) |
| ISSN: | 1076-2787 |
| DOI: | 10.1155/2021/6245168 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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