DEVELOPMENT OF ALGORITHMS FOR ADAPTATION OF CONTROL LAWS
Keywords:
control, adaptive control laws, algorithms, approximation, steam generator, heat load, compensating deviceAbstract
This article presents the analysis of the development of control law adaptation algorithms. The article proposes an approach to the development of control law adaptation algorithms based on the use of systematic analysis and optimization methods. The article also discusses the advantages and limitations of different methods of adapting control laws. An adaptive control algorithm is proposed to provide the necessary quality indicator to the control system of thermal power facilities under conditions of uncertainty and to give it the property of adaptability and invariance, which allows to compensate for external and internal disturbances and improve the quality indicators of the control process.
References
Gulyamov Sh.M. Intelligent control technology, the reliability of the measuring information // Chemical Technology, Control and Management. – 2018. № 3.– Pp.128-131.
Igamberdiyev Х.Z. Regularized algorithms of adaptive assessment of state of control objects with parametric perturbation account // Chemical Technology, Control and Management. – Vol. 3. – Iss. 2. – 2018. – Pp.47-52. https://doi.org/10.34920/2018.3.
Marahimov A.R., Igamberdiev H.Z., Yusupbekov A.N., Siddikov I.H. Fuzzy situation analusis and control of the processes safety of the complex industrial petrochemical objects 2013 // Seventh International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control – ICSCCW. – Turkey 2013. – Pp.323-328.
Mukhamedieva D.T. Approaches to solving optimization tasks based on asks based on natural calculation algorithms // Scientific-technical journal. – Vol. 24. – Iss. 2. – 2020. – Pp.58-67.
Siddikov I.X., Umurzakova D.M. The Research on the Dynamics of the Three-impulse System of Automatic Control of Water Supply to the Steam Generator When the Load Changes // Journal of Physics: Conference Series. 1706 (2020) 012196. https://doi.org/10.1088/1742-6596/1706/1/012196.
Siddikov I.X., Umurzakova D.M., Bakhrieva H.A., Adaptive system of fuzzy-logical regulation by temperature mode of a drum boiler // IIUM Engineering Journal. – Vol. 21, No. 1. – 2020. – Pp. 185-192. https://doi.org/10.31436/iiumej.v21i1.1220.
Yusupbekov N.R., Abdurasulov F.R., Adilov F.T., Ivanyan A.I. Application of cloud technologies for optimization of complex processes of industrial enterprises // Advances in Intelligent Systems and Computing 896. – 2018. – Pp.852-858.
Zadeh L.A. Linear system theory: the state space approach // Courier Dover Publications. –2008. – Pp.566.
Бекмуратов Т.Ф. Систематизация задач интеллектуальных систем поддержки принятия решений // Проблемы информатики и энергетики. – Ташкент 2003. №4. – С.24-35.
Плетнев Г.П. Автоматизация технологических процессов и производств в теплоэнергетике: учеб. для студентов вузов / Г. П. Плетнев. – 4-е изд., перераб. – М.: Издательский дом МЭИ, 2007. – 352 с.
Ротач В.Я. Теория автоматического управления. М.: МЭИ, 2004, 400 с.
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