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Multidisciplinary External Ballistic Design Optimization of a Flying projectile Using Evolutionary Algorithms

Jamali, Sajjad | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 44257 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Pourtakdoost, Hossei
  7. Abstract:
  8. Multidisciplinary Design Optimization (MDO) has been considered by many researchers, especially in field of aerospace engineering during the last two decades. The goal of MDO is to achieve optimal design of systems considering a variety of disciplines. In this regard, selection of viable disciplines, their codification, structure and interactions, levels of integrity and the optimization approach to be utilized are of importance and challenging.
    In this project, MDO external ballistic optimization of the conceptual design of a flying projectile is investigated. The key objectives to be met by optimal design were chosen to be maximizing the payload weight and the covered range. To this end pertinent subjects or disciplines that are modeled and utilized include weight and balance, aerodynamics, controllability as well as the vehicle static stability. The developed optimization problem included 14 design variables and 2 target function that including the vehicle payload weight and the gliding range. A comparison of configurations achieved through the classical statistical design method with that resulting from the MDO approach is presented. In addition, a Monte Carlo analysis is performed over the optimal design to see the effect of launching uncertainties in meeting the mission requirements
  9. Keywords:
  10. Multiobjective Genetic Algorithm (MOGA) ; Monte Carlo Simulation ; Multiobjective Optimization ; Multidisciplinary Optimization ; Conceptual Design ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method ; Guided Projectile

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