V.I. Merkulov1, D.V. Zakomoldin2, S.A. Gorbunov3, A.A. Marchuk4

1 JSC Vega Radio Engineering Corporation (Moscow, Russia)
2–4 Military Academy of Aerospace Defense named after Marshal of the Soviet Union G.K. Zhukov (Tver, Russia)
1 ilya-zagrebelnyi@mail.ru, 2 denjuga68@yandex.ru, 3 foxstavr@mail.ru, 4 m_alex_alexandrovich@inbox.ru

Problem statement. An analysis of the approaches that have become widespread in solving the problem of optimizing the methods of aiming interceptors at an aerial target has allowed us to identify a number of difficulties in their practical application. Along with this, a relatively new direction based on a section of management theory – intelligent management - is widely used in solving many applied problems. The use of intelligent control can partially eliminate the difficulties that arise when optimizing interceptor guidance methods using existing methods. This determines the practical interest of studying the possibility of using intelligent control in solving the problem of aiming an interceptor at an aerial target.

Goal. To develop an interceptor control signal when solving the task of aiming it at an aerospace attack vehicle based on elements of fuzzy logic, as one of the options for intelligent control.

Results. An interceptor control signal based on fuzzy logic elements has been developed. The efficiency of the developed interceptor control signal when aiming at an aerial target is evaluated and compared with the optimal law of trajectory control based on modeling.

Practical significance. The problematic issues that arise when solving the problem of optimizing the methods of aiming interceptors at an aerial target are highlighted. One of the possible solutions to these issues, based on intelligent management, has been identified.

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