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Russian neural network taught to prevent accidents during missile launches
09.12.2021 [17:22],
Sergey Karasev

The Central Scientific Research Institute of Mechanical Engineering (TsNIIMash) of the state corporation Roscosmos proposes to use artificial intelligence (AI) tools to identify possible problems that may arise during the launch of Soyuz carrier rockets.

The study is described in the article “Application of neural networks to the analysis of the separation of the side blocks of the Soyuz launch vehicle” published on the pages of the scientific journal “Manned Space Flights” on the website of the Yu.BUT. Gagarin.

The introduction of AI is expected to make it possible to prevent situations like the one that arose on October 11, 20221 when the Soyuz-FG launch vehicle (LV) was launched with the Soyuz MS-10 manned transport vehicle. Then there was an abnormal separation of one of the side blocks, which hit the central block with the bow in the area of ​​the fuel tank. This provoked the loss of the rocket stabilization and the activation of the emergency rescue system of the Soyuz MS-10 spacecraft.

“The separation of the side blocks is an extremely critical dynamic operation during the flight of launch vehicles, the abnormal execution of which can lead to an emergency termination of the flight,” the work says.

To train the new neural network, telemetric data records from six successful launches of Soyuz-FG carriers were used. Each of these missiles contains four side blocks – so 24 different training examples were used.

It is noted that the trained neural network showed good results when evaluating new data, reliably diagnosing standard or abnormal behavior of telemetric parameters.