A NOVEL APPROACH FOR OPTIMIZATION OF NOZZLE ANGLE AND THRUST VECTORING CONTROLLER VIA A SUB-MUTATION GENETIC ALGORITHM

ÇATALBAŞ M. C., GÜLTEN A.

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, cilt.13, sa.6, ss.1929-1940, 2017 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 6
  • Basım Tarihi: 2017
  • Doi Numarası: 10.24507/ijicic.13.06.1929
  • Dergi Adı: INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.1929-1940
  • Anahtar Kelimeler: Optimization, Genetic algorithm (GA), Ballistic missile, Thrust vectoring, Nozzle, Optimal controller design, PID CONTROLLER, PERFORMANCE ANALYSIS, DESIGN
  • Ankara Üniversitesi Adresli: Hayır

Özet

In this paper, we present a method for a proportional-integral-derivative (PID) controller design via new and improved genetic algorithm approach. This method provides for determining optimal controller parameters about ballistic missile systems. The relationship between thrust vector and angle of the nozzle is examined. This relationship is vital for controlling the movements of ballistic missiles. PID controller system provides sufficient success as observed in the results. In this study, optimal PID controller parameters are obtained by a new approach which is called as a sub-mutation genetic algorithm. The sub-mutation genetic algorithm provides more successful and robust results than that of the traditional genetic algorithm.