Abstract
The authors propose an approach to the parametric synthesis of an automatic control system by a selected performance criterion using the genetic algorithm. A mathematic model of a digital automatic control system is provided and realized in MATLAB/Simulink. And finally, the paper presents the results of system parameters optimization in the range of settings ruling out instable operation and self-oscillations; these results have been obtained in MATLAB/Genetic Algorithm and Direct Search Toolbox.
Similar content being viewed by others
References
Rutkovskaya, D., Pilin’skii, M., and Rutkovskii, L., Neironnye seti, geneticheskie algoritmy i nechetkie sistemy (Neural Networks, Genetic Algorithms and Fuzzy Systems), Moscow: Goryachaya Liniya-Telekom, 2006.
D’yakonov, V.P., MATLAB 7.*/R2006/R2007: Samouchitel’ (MATLAB 7.*/R2006/R2007: Manual for Self-tuition), Moscow: DMK Press, 2008.
Trofimov, A.I., Egupov, N.D., and Slekenichs, Ya.V., Printsipy postroeniya avtomaticheskikh regulyatorov teploenergeticheskikh protsessov AES (Design Principles of Automatic Controllers for the Heat-and-Power Engineering Processes in Nuclear Power Plants), Moscow: Energoatomizdat, 1999.
Dorf, R.C. and Bishop, R.H., Modern Control Systems, New York: Addison-Wesley, 1967. Translated under the title Sovremennye sistemy upravleniya, Moscow: Laboratoriya Bazovykh Znanii, 2002.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © L.A. Denisova, V.A. Meshcheryakov, 2012, published in Avtomatizatsiya v Promyshlennosti, 2012, No. 7, pp. 34–38.
Rights and permissions
About this article
Cite this article
Denisova, L.A., Meshcheryakov, V.A. Automatic parametric synthesis of a control system using the genetic algorithm. Autom Remote Control 76, 149–156 (2015). https://doi.org/10.1134/S0005117915010142
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0005117915010142