Research on Fuzzy Proportional Guidance Law of Air-to-ground Attack Based on Genetic Algorithm

doi:10.3969/j.issn.1000-1093.2017.10.010

Abstract

Abstract: At present, one of the development trends of air-to-air missiles is that the missile is used to attack both ground and air targets. On the basis of the three-dimensional proportional guidance law， the genetic algorithm is used to solve the optimal fuzzy control rules, and then the fuzzy control theory is used to control the proportional coefficient component of the three-axis in the proportional guidance law, thus establishing an integrated guidance law that enables the missiles to effectively attack the air and ground targets. The missile air-ground integrated attack guidance law is compared with the traditional three-dimensional proportional guidance law through the simulation experiment. The simulated results show that the proposed navigation law can be used for missile attacking the air-to-ground targets effectively and hasving a greater hit angle in the attack on ground target, so it is suitable for the air-to-ground integrated attack mode.Key

Key words: ordnancescienceandtechnology, air-to-groundintegration, geneticalgorithm, fuzzycontrol, guidancelaw, simulation

CLC Number:

TJ765.2⁺2

LI Bo， WANG Yuan-xun， GAO Xiao-guang， CUI Si-jie. Research on Fuzzy Proportional Guidance Law of Air-to-ground Attack Based on Genetic Algorithm[J]. Acta Armamentarii, 2017, 38(10): 1950-1956.

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第38卷第10期2017 年10月兵工学报ACTA
ARMAMENTARIIVol.38No.10Oct. 2017

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