MULTIDISCIPLINARY CONCEPTUAL DESIGN OF A GUIDED PROJECTILE USING GENETIC ALGORITHMS

Multidisciplinary design optimization is a new approach in the design of complex systems engineering over the last two decades the attention of many researchers and design centers located around the world, especially in the field of aerospace. That during the past two decades has been attended to that by many of researches and designing centers of world, especially in the field of aerospace. In the MDO realization of one or more general efficient criteria is considered with considering main topics of appropriate designing and modeling of them. The multidisciplinary design optimization of design and modeling topics, including the right of them is the realization of one or several optimal criteria. In this context, the main issues to devise the content of each structure and the interaction between them, the accuracy of the modeling and optimization of the main challenges of a problem emerged in recent years has been the basis of numerous studies. In this paper multidisciplinary design optimization concept and purpose of a projectile according to its industrial application is defined, modeled and solved. In order to achieve maximum cargo weight and maximum range, discipline, stability and handling, weight and balance, aerodynamics and trajectory as a major issue in the conceptual design stage guided projectile was selected as an appropriate model for each high accuracy level was used. Guided Projectile design problem with 14 design variables and objective functions, including a range of cargo weight means Also according to the existing perturbations on the initial conditions of releasing for sensitivity analysis of projectile range compared with changes of initial conditions from the ideal state and evaluating the final design, Monte Carlo simulations have been conducted on the selective plan.