V.M. Buyankin scite author profile

The synthesis of neural regulators for control systems of electric drives is considered in the article. The stable work and features of the application of neural regulators in closed circuits are analyzed. Neuroregulators self-adjust when changing the parameters of the control object. Information on the change in the parameters of the control object is compared with the optimal desired characteristics of the reference model, training signals are generated for the neuroregulators, which provide the necessary optimal static and dynamic characteristics of electric drive.

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Synthesis method neurofforecasting difficult technological installations with use of indistinct intellectual technologies

Buyankin¹,

Kovaleva²,

Zakharov³

2013

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V.M. Buyankin

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Development of a combined multi-parameter system of artificial intelligence for neurodiagnostics and neuroprediction of emergency modes operation of an electric drive based on an ensemble of neural networks

NEUROIDENTIFICATION WITH NEURO-SELF Tuning TO ENSURE THE OPERATION OF THE CURRENT LOOP OF THE ELECTRIC DRIVE WITH THE DESIRED STATIC ANDDYNAMIC CHARACTERISTICS

Synthesis method neurofforecasting difficult technological installations with use of indistinct intellectual technologies

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