Open AccessCompleting the proportional navigation rule with optimizational association funtion based on particle swarm optimization rule
Author(s) -
Minh Hong Nguyen,
Xuan Phang Pham
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1889/2/022081
Subject(s) - particle swarm optimization , fuzzy logic , matlab , computer science , exploit , simplicity , field (mathematics) , fuzzy rule , mathematical optimization , simulation , engineering , algorithm , artificial intelligence , mathematics , fuzzy set , operating system , philosophy , computer security , epistemology , pure mathematics
The Proportional Navigation (PN) is one of the most successful and widely applied conductive rules in the field of guidance since from the innitial days of its proposal. The success of PN comes from very early by the simplicity and ease of actualization and the especially important reason that leads to the success of the PN is permanent or poor maneuverability target. However, with the development in aerospace science, the maneuverability of flying vehicles is constantly improving. This causes PN to reveal its disadvantages, reduce its accuracy when sticking and attacking mobile targets. The paper presents a guidance rule based on fuzzy logic on basis of Particle Swarm Optimization (PSO) algorithm. The proposed guidance rule (FPSOG) is simulated according to PN to exploit the advantages of PN but still ensure the optimal and flexible design by fuzzy logic and PSO algorithm. The results of the completion process of FPSOG were investigated and compared with PN and pure Fuzzy Proportional Navigation (FPN) rule MATLAB software.