Основи схемотехніки електронних систем

Basics of circuitry are stated, principles of operation are considered, it is given calculations of analog, digital and pulse devices of electronic systems, based on semiconductor devices, integrated operational amplifiers and integrated logic circuits of TTL, MOS, CMOS types, construction principles of systems of control by electronics devices based on microprocessors and microcontrollers. For students of institutions of higher education. It can be useful for specialists on electronic engineering, specializing in the area of development, fabrication and maintenance of electronic systems and devices

Power quality improved SMPS using BL-CSC converter for welding applications

In this paper, a single-phase power quality improved switched-mode power supply (SMPS) using bridgeless (BL) canonical switching cell (CSC) converter is analyzed, designed and experimentally tested for welding applications. The elimination of diode bridge rectifier (DBR) at the input leads to reduced conduction losses and high power density thereby improving thermal management. BL-CSC converter functions in discontinuous inductor current mode (DICM) to naturally realize high power factor (PF) with low total harmonic distortion (THD) in the input current. Other benefits include simple control circuitry, high efficiency and low electromagnetic-interference noise. BL-CSC converter is then connected to isolated full bridge (FB) converter modules, which are arranged to increase the overall current rating of the proposed arc welding power supply (AWPS). The controller for the proposed AWPS aims to regulate the DC voltage at the output as well as to limit the current at the load end, so as to make it suitable for welding applications. Theoretical analysis and experimental results for a 1.75kW AWPS are elucidated to investigate the behavior of the proposed configuration. The proposed topology is compared with conventional schemes in terms of efficiency, THD and PF. Test results are conferred to corroborate the efficacy of proposed SMPS for arc welding applications

Machine Learning and Data Mining Applications in Power Systems

This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries