Akademik Veri Yönetim Sistemi
11th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2022, İstanbul, Türkiye, 18 - 21 Eylül 2022, ss.241-246
© 2022 IEEE.Electromagnetic launchers technology is an increasingly important field. One of the most important advantages of electromagnetic launchers is their controllability. Both speed and range can be increased with the energy applied to the launchers. The energy applied to electromagnetic launchers is often applied in multiple units. The correct selection of the ignition times of these units affects both speed and efficiency. However, there is no exact method that can be used for the correct selection of these values. Manually selecting these values does not make sense in terms of both accuracy and time usage. This paper presents a genetic algorithm-based control structure for Multistage Railgun system's trigger values. The Multistage system consists of five capacitor banks units that used as pulse power supply. Each unit can produce 200kj energy, so total energy capacity of the system is 1Mj. Main objective of this study is the maximize the muzzle velocity. To achieve this purpose trigger time of each pulse power supply units were found by genetic algorithm. Basic parameters of the genetic algorithm changed to find best result in the fastest way. Various simulations carried out with MATLAB/Simulink platform some of them presented. When railgun system was energized all at ones, its velocity reaches at 70 m/s. While trigger times found by genetic algorithm the muzzle velocity has reached 189 m/s at same power value. It is inferred that GA has better performance than classical ones.