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Development of information technology to optimize the speed of a steam generator control system with the identification of nonlinear models

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This study demonstrates improved speed of water level control in steam generators, highlighting optimization techniques through nonlinear models.

Optimization reduced the mean square deviation of model processes by 54% compared to linear models.
The minimum control time achieved for the water level control system was 146 seconds after a 20% load drop.
Computational experiments identified 41 parameters in the nonlinear control system model for optimization.
A maximum change in water level did not exceed 24% of allowable values, indicating control system reliability.

Nikulina et al. (2025) studied this question.

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This study demonstrates improved speed of water level control in steam generators, highlighting optimization techniques through nonlinear models.