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Industrial Automatic Control Systems and Controllers

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On optimality criterion selection in numerical computation of automated control systems
SMIRNOV N.I., SHAROVIN I.M.

The results of comparative analysis of various optimality cri-teria used in controller settings computation are presented. Along with integral criteria, used for calculating step test re-sponse, a criterion minimizing the variance of control variable’s deviation under random disturbances is examined. A case study of a PI control loop is examined. Optimal settings for various optimality criteria are computed numerically based on a simula-tion model per a specified stability margin using Optim-MGA evolutionary algorithm[1, 2] Keywords: evolutionary optimization algorithm, optimality criterion, stability margin, integral criteria, optimal settings, minimum variance criterion, correlation function, transient, frequency response, response surface, simulation. Е-mail: sharovin@gmail.com

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