Dynamic object multidisciplinary parameters optimization engineering method

Аuthors

Romanova T. N.^1*, Paschenko O. B.^2**, Gavrilova N. Y.^2***, Shchetinin G. A.^1****

1. Bauman Moscow State Technical University, MSTU, 5, bldg. 1, 2-nd Baumanskaya str., Moscow, 105005, Russia
2. Russian Aircraft Corporation «MiG», 7, 1st Botkinsky passage, Moscow, 125284, Russia

*e-mail: rtn@bmstu.ru
**e-mail: alexandoleg@post.ru
***e-mail: mamapasha@mail.ru
****e-mail: gashetinin@yandex.ru

Abstract

This work aims at developing a dynamic object multidisciplinary optimization, namely maneuverable aircraft horizontal empennage.

Horizontal empennage is a complex technical system with a great number of parameters described by the equations belonging to various scientific disciplines. Thus, the developed method represents a multidisciplinary optimization method. The efficiency of the horizontal empennage can be evaluated by the value of the moment produced by the horizontal empennage and the pitch moment gradient magnitude, which can ensure the aircraft balancing and performing a specified maneuver. Parameters necessary for optimization in the framework of the specified problem were determined and their ranking was performed by weight factor determination for each parameter. Then the goal function for horizontal empennage parameters optimization was created. Various approaches to supersonic aircraft horizontal empennage parameters optimization, such as method using Pareto principle, or method using Hurwitz criterion, were studied and realized. Analysis of operation of the above mentioned optimization methods in the context of the specified problem revealed their insufficient efficiency. With the aim of improving the obtained results a new optimization method was developed and suggested. This method employs the valuation of several valuation functions to obtain optimal solution. The effectiveness of the developed method is demonstrated using various input data sets, and the effect of various weight factors parameters on obtained result was studied. Its operation results in horizontal empennage optimal geometric parameters, formed automatically with CAD system Siemens NX 7.5 “Modeling”.

Keywords:

multi-criterion optimization, Pareto principle, Hurwitz criterion, restrictive function, aircraft horizontal empennage, horizontal empennage moment

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