Universal Journal of Electrical and Electronic Engineering Vol. 7(2), pp. 94 - 102
DOI: 10.13189/ujeee.2020.070204
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Structural-Parametric Synthesis of an Adaptive Fuzzy-Logical System


Siddikov Isamiddin Xakimovich , Umurzakova Dilnoza Maxamadjonovna *, Yadgarova Dilnoza Baxtiyarovna
Department of Information Processing Systems and Management, Tashkent State Technical University, Uzbekistan

ABSTRACT

One of the ways to improve the quality of the process of managing dynamic objects, in the presence of various types of uncertainty of external and internal factors, due to insufficient information about the object and useful signals and noise acting on it, is to develop new and improve existing methods and algorithms for solving problems of structurally parametric synthesis of neuro-fuzzy control systems that can significantly expand the capabilities of dynamic systems. An analysis of existing approaches showed that at present, traditional methods of controlling the absorption process do not meet modern requirements, due to the lack of a system analysis of the entire set of control systems as a whole, the structure of the system and the relationship between its functional elements, etc. The aim of the work is to create an automatic control system dynamic object, allowing to overcome the difficulties associated with the non-stationary process, structural and parametric uncertainty and variability of external influences. A technique for the synthesis of a high-speed control algorithm based on fuzzy-logical inference is proposed, which allows to eliminate empty and zero solutions when determining the architecture and calculating the weights of arcs of a neural network. To correct the parameters and structure of the fuzzy-logical controller, an adaptation block is proposed in the control system loop. The originality of the proposed synthesis method is to ensure high speed of finding control actions due to the possibility of eliminating the redundancy of computational procedures associated with discarding empty and zero solutions in the formation of control devices when choosing the architecture of a neural network and calculating synapse weights. The proposed structural-parametric adaptation algorithm in the process control problems allows to reduce the number of iterations in the process of network training, to reduce the error in the calculation of control values 8 to 1%.

KEYWORDS
Adaptive Models, PID-Regulation, Fuzzy Controller, Identification Methods, High-Speed Algorithm

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Siddikov Isamiddin Xakimovich , Umurzakova Dilnoza Maxamadjonovna , Yadgarova Dilnoza Baxtiyarovna , "Structural-Parametric Synthesis of an Adaptive Fuzzy-Logical System," Universal Journal of Electrical and Electronic Engineering, Vol. 7, No. 2, pp. 94 - 102, 2020. DOI: 10.13189/ujeee.2020.070204.

(b). APA Format:
Siddikov Isamiddin Xakimovich , Umurzakova Dilnoza Maxamadjonovna , Yadgarova Dilnoza Baxtiyarovna (2020). Structural-Parametric Synthesis of an Adaptive Fuzzy-Logical System. Universal Journal of Electrical and Electronic Engineering, 7(2), 94 - 102. DOI: 10.13189/ujeee.2020.070204.