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Industrial Automatic Control Systems and Controllers

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Identification and adaptation of regulatory control systems using evolution optimization algorithms
Repin A.I., Smirnov N.I., Sabanin V.R.

A way to implement an adaptive regulatory control system based on active identification in a closed loop is discussed. Structural diagrams and algorithms of identification and adaptation procedures are offered. The identification and the calculation of optimal adaptation procedure settings are implemented based on setpoint step test data. To do this, along with the real control system, both its simulation model and the author’s version of the evolution optimization algorithm named Optim-MGA were used. Identification and adaptation are exemplified in a single loop control system with a PID controller implementing the derivation. Е-mail: repin@intma.ru

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