Simulation for two-dimensional trajectory correction projectile with fixed-canard based on modified proportional navigation

Cheng, Jun; Shen, Qiang; Peng, Zhou

doi:10.1109/icus.2017.8278320

Cited by 2 publications

(1 citation statement)

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“…Guo considered the lateral deviation with an advanced proportional guidance law in the ascending segments and conducted comprehensive correction with conventional PNG in the descending segments [2]. Cheng studied a modified proportional navigation algorithm with two-dimensional correction based on fixed canards by making use of the zeroeffort-miss concept, in which the target location is chosen as the control variable [9]. Zhang took the horizontal velocity and position as the control variables to construct a new adaptive proportional-derivative guidance law for a guided mortar projectile [10].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the PNG Law for a Dual-Spin Mortar with Fixed Canards

Liu

Cao

Feng

et al. 2021

Mathematical Problems in Engineering

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The limited instantaneous overload available and the curved trajectory lead to adaptivity problems for the proportional navigation guidance (PNG) of a guided mortar with a fixed-canard trajectory correction fuze. In this paper, the optimization of a PNG law with gravity compensation is established. Instead of using the traditional empirical method, the selection of the proportional navigation constants is formulated as an optimization problem, which is solved using an intelligent optimization algorithm. Two optimization schemes are proposed for constructing corresponding optimization models. In schemes 1 and 2, the sum squared error between the impact point and target and the circular error probability (CEP), respectively, are taken as the objective function. Monte Carlo simulations are conducted to verify the effectiveness of the two optimization schemes, and their guidance performance is compared through trajectory simulations. The simulation results show that the impact point dispersion can be efficiently reduced under both proposed schemes. Scheme 2 achieves a lower CEP, which is approximately 2.9 m and 2.4 times smaller than that achieved by scheme 1. Moreover, the mean impact point is closer to the target.

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Section: Introductionmentioning

confidence: 99%