Using proportional navigation and a particle swarm optimization algorithm to design a dual mode guidance

Lee, Yung-Lung; Chen, Kuei-Yi; Liao, Sheng-Ju

doi:10.1016/j.compeleceng.2016.01.025

Cited by 10 publications

(16 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The actual application of PN-guidance is named TPN-guidance. The three-dimensional acceleration commands for the pitch (a pc ) and yaw (a yc ) controls are given below 22 ;…”

Section: Classic Pn and Tpn Guidancementioning

confidence: 99%

“…The other parameters are given in Appendix. The cost function, J, is based on the vertical and the horizontal LOS rates in (10) 22 . The parameters presented in (12) and (13) are computed for each time-step in accordance with (7) and (8).…”

Section: Pso Based Adaptive Tpn-guidancementioning

confidence: 99%

“…Point-mass models of the missile and target have been used because they are sufficient for kinematic analysis. Their aerodynamic vectors are illustrated in the Cartesian coordinate frame presented in Fig 4. In addition, the model dynamics are summarised below 22 . In these models, γ is flight path angle, ψ is azimuth angle and φ is roll angle.…”

Section: Modelling and Simulationmentioning

confidence: 99%

“…, and m M are the flight path angle, the azimuth angle, the velocity, the thrust, the drag, and the mass of the missile respectively. In addition, k 1 , k 2 , a pc , a yc , τ M and g are drag coefficients, lateral accelerations of the pitch and yaw axis and the gravity force, respectively 22 . After the angles and velocity are calculated in accordance with the current status of the missile, then its new coordinates are computed.…”

Section: Missile Modellingmentioning

confidence: 99%

“…In addition, the genetic and heuristic optimisation techniques suggested optimising guidance process for the first time at these years [20][21] . Lee 22 proposed to combine PSO (Particle Swarm Optimisation) and PN-guidance so as to obtain optimal PN-guidance. Yaghi 23 , et al developed adaptive neural fractional order proportional integral derivative controller to optimize PN-guidance.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Adaptive True Proportional Navigation Guidance Based On Heuristic Optimization Algorithms

Gözde

Özden

2021

Def. Sc. J.

View full text Add to dashboard Cite

The PN-guidance (Proportional Guidance) still continues to be improved, because it is the simplest, cheapest and most reliable algorithm. One of the most important techniques to improve PN-guidance is to adapt the navigation constant depending on time. In this study, first, the entire adaptation methods for PN-guidance are classified, then the adaptation process is online achieved by using heuristic optimization during guiding the missile. The novelty of this study is that the heuristic optimization approach is used at the first time to update the navigation constant of PN-guidance. It is considered that having short program code, fast convergence speed and just simple algebraic computations without derivative are vital advantages of heuristic algorithms using into missile systems. In this scope, an Adaptive True-PN (ATPN) guidance algorithm is designed by optimizing navigation constants varying according to the target behavior. The results show that while the acceleration gap of the pitch axis decreases 21.8%, the acceleration gap of yaw axis reduces 39.68%. These reductions mean that while the missile guided by ATPN is maneuvering, it is exposed to less acceleration and less strain.

show abstract

“…The actual application of PN-guidance is named TPN-guidance. The three-dimensional acceleration commands for the pitch (a pc ) and yaw (a yc ) controls are given below 22 ;…”

Section: Classic Pn and Tpn Guidancementioning

confidence: 99%