Applying the Heuristic Particle Swarm Search Algorithm to Optimize the Parameters of the Missile Tactical Guidance Law
Document Type : Original Article
Abstract
In this paper, two points guidance law of a missile is optimized based on the particle swarm search algorithm. To do so, we need to five-degree-of-freedom equations of the missile and the proportional guidance law to track the target. Next, the parameters of the law guidance are optimized using the particle swarm algorithm. As a result, the movement path of the missile and target on the horizon and vertical plane, acceleration commands, as well as the miss distance are shown. Also, the effect of axial acceleration compensation, gravitational compensation, and updated frequency on the acceleration commands and the seeker's range are investigated on the guidance law.
(2022). Applying the Heuristic Particle Swarm Search Algorithm to Optimize the Parameters of the Missile Tactical Guidance Law. Aerospace Defense, 1(2), 66-92.
MLA
. "Applying the Heuristic Particle Swarm Search Algorithm to Optimize the Parameters of the Missile Tactical Guidance Law", Aerospace Defense, 1, 2, 2022, 66-92.
HARVARD
(2022). 'Applying the Heuristic Particle Swarm Search Algorithm to Optimize the Parameters of the Missile Tactical Guidance Law', Aerospace Defense, 1(2), pp. 66-92.
CHICAGO
, "Applying the Heuristic Particle Swarm Search Algorithm to Optimize the Parameters of the Missile Tactical Guidance Law," Aerospace Defense, 1 2 (2022): 66-92,
VANCOUVER
Applying the Heuristic Particle Swarm Search Algorithm to Optimize the Parameters of the Missile Tactical Guidance Law. Aerospace Defense, 2022; 1(2): 66-92.
