Parameter Optimization Method of Fuzd Setting System Based on Harris Hawks Optimization Algorithm
In order to meet the real-time requirements of tank gun ammunition in combat,the fuze must quickly and accurately receive the enemy's distance,azimuth and other information transmitted by the weapon platform,which is very important to improve the effectiveness of combat damage.In response to the challenges faced by fuze in receiving energy and information rapidly and reliably under the constraints of actual weapon platform environment,a mathematical model for the synchronous transmission of energy information in a fuze sharing firing channel setting system is established.This model is characterized by an objective function for minimizing the setting time through the optimization of system design parameters.Additionally,it incorporates the constraints to ensure the reliable reception of energy information even in harsh platform channel conditions,resulting in an optimization model for the system design parameters.The Harris hawk optimization(HHO)algorithm is used to solve the optimal value of the system parameters.The simulated results show that parameter optimization method based on HHO algorithm can be used to obtain the optimal system design parameters.Compared with the system with unoptimized parameters,the time for synchronous transmission of energy information is reduced by 26.4％and the reliable reception ratio of information is increased by 40.4％on average under different channel parameters.Especially in the harsh channel environment where the channel capacitance is greater than 5 nF,it can still ensure reliable information reception,the speed and reliability of energy information reception are greatly improved,and the combat effectiveness is optimized.The effectiveness of this method has been verified through laboratory experiments.
tank gun ammunition fuzesynchronous transmission of energy and informationharsh platform channel conditionminimum setting timesystem parameter optimization
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