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DOI: Synthesis Of An Electric Drive Control System With A Fuzzy Controller
Mamatyusuf Mamatkarimovich Nuryodiev , Assistant, Department of Electrical Engineering, Electromechanics and Electrical Engineering, Andijan Machine-Building Institute, Uzbekistan Rakhmonjon Uzakov , Senior Lecturer, Department of Electrical Engineering, Electromechanics and Electrical Engineering, Andijan Machine-Building Institute, UzbekistanAbstract
This article analyzes the increasing demand for DC electric drives with the development of manufacturing and the emergence of new technologies. Modern technological processes require the development of electric drives that have increased speed, accuracy and the ability to quickly adapt to changing operating modes. The transition process, in a standard system, meets the requirements of optimal quality indicators corresponding to the third point of adjustment. In a system with a fuzzy controller, a transient process similar to that calculated in a standard three-circuit system is obtained. This fact indicates that the use of a fuzzy controller allows you to provide control that meets the required optimality criteria. In relation to the studied SPP ACS, the current loop and the mechanical part of the electric drive in the standard structure (thyristor converter and the armature circuit of the electric motor) should be considered as the control object. To eliminate the influence of EMF feedback, a compensatory positive feedback is introduced into the system.
Recently, new non - traditional management methods, including fuzzy logic, neural networks, expert systems and other control tools with elements of artificial intelligence, have been applied in the world practice.
The dynamics of an electric drive with a fuzzy controller is analyzed. The structure and knowledge base of the fuzzy controller are proposed to reduce the number of control loops and the number of sensors by eliminating the speed loop. Analysis of the dynamics of the two-circuit automatic control system of a tracking electric drive with a fuzzy controller has established that the quality indicators of the dynamics of the electric drive when working out large control actions are better in a system with a fuzzy controller.
Keywords
Technology, process, development, electric drive, industry, mechanics, controller, model, system, controls, analog, chip, adaptive, standard, quality, logic, link, part, contour, structure, dynamics, circuit, object
References
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