Mühimmat sürüsü için güdüm yöntemlerinin değerlendirilmesi

In this study, collective flight, mission execution and decision-making algorithm for airdrop micro munitions with two different swarm algorithm alternatives are examined. Through a concept munition design is created and an aerodynamic database is prepared with the Missile-Datcom software. Six degrees of freedom flight mechanics model, subsystems of munition and environment are modeled. A linear model is obtained and controller is designed. Pole placement method is used in the controller design. Full state feedback assumption may not suitable for the actual problem. For this reason, the autopilot gains of the designed controller are converted into gain values suitable for measurements by using the projection control method. The designed autopilot tracks the commands of the swarm and proportional navigation guidance. The swarm algorithms coefficients are optimized for the nominal state by particle swarm optimization. Alternative algorithms obtained as a result of optimization are tested under various distortions by Monte Carlo analysis. Sensitivity analysis and performance evaluation are examined as well.