Mathematical modeling of voltage sag regulation in spinning enterprises

Abstract

Relevance: in the rapidly developing world, electrical energy is considered the primary source. Ensuring its quality remains a pressing and enduring issue in the field of energy. This scientific article addresses one of the quality indicators—voltage sag, in particular, the topic of mathematical modeling for control systems of devices designed to eliminate short-term voltage sags. Mathematical modeling serves as a tool to improve the ability to pre-design, regulate, and manage the problem under consideration. The content of the article examines the use of one of the modern methods—fuzzy logic—for modeling the control of a contactless voltage regulation device intended to mitigate voltage sags in textile enterprises, with specific consideration of the Gaussian membership function.

Aim: in the process of developing a device to eliminate short-term voltage sags in textile enterprises, the modeling of the control system is carried out on the basis of fuzzy logic.

Methods: a modern method of mathematical modeling is fuzzy logic and the Gaussian membership law.

Results: by means of fuzzy logic, the control law of the existing problem in textile enterprises is identified as a nonlinear process, in which the Gaussian membership function graph satisfies the law of normal distribution.