A single-phase induction motor (SPIM) is one of the most widely used types of electric motors for applications that require small to medium power even his features don’t look very efficient energy parameters point of view. This motor runs on single-phase AC power, a real advantage for residential and light industrial applications and coupled with a DC permanent machine can emphasize its behavior in some specific situations. Starting and running performance of single-phase induction motor depend on running torque requirements of the load. Some statements about power factor and efficiency will be done, also.

Special electrical machines play an increasingly important role in modern applications. They are designed to address situations that were previously handled by conventional machines, offering improved efficiency and sustainability. The growing need to save resources and protect the environment has encouraged the development of new strategies in motor design and control. This paper presents a BLDC behaviour using datasheets obtained from a PMSM motor. Both BLDC (Brushless DC) and PMSM (Permanent Magnet Synchronous Motor) are permanent magnet machines and their mathematical models are closely related, differing mainly in how the back-EMF is shaped (trapezoidal for BLDC, sinusoidal for PMSM). Key parameters like stator resistance, inductance, and permanent magnet flux linkage are common to both machines. This means PMSM data can be repurposed for BLDC simulations without needing a completely separate dataset. MATLAB/Simulink, provide PMSM blocks that can be adapted for BLDC by changing the EMF profile. This paper presents an open-loop control scenario for simulating the BLDC motor performance using the Motor Control Blockset from the MATLAB/Simulink library starting from a PMSM open loop control strategy.

This paper presents a virtual laboratory for testing a single-phase autotransformer using MATLAB Simulink environment. The model is implemented according to a practical laboratory used at electric machines’ discipline for the undergraduate level in electrical engineering. The model presented herein is a copy of a practical experiment for an autotransformer made in the test laboratory. The rating of the autotransformer is taken to be 2 kVA, 230/0÷230 V, and it was set at a transformer ratio of 1.5. The used model is a linear one and run for a pure resistive load test. In the same time, it was aimed the simulation accuracy as it was used a linear model, neglecting the magnetic saturation effect.

This paper presents a solution for implementing a power measurement receiver made with PlutoSDR. The paper proposes the dynamic elimination of the contribution of internal noise to the measured signal level by compensating with the level of internal noise produced by the receiver in the adjacent RF band. Our approach is based on the fact that the internal noise level in the working band is approximately equal to that in the frequency band in the immediate vicinity. As far as we know, our work is the first to use the idea of measuring the noise in an adjacent band to estimate the internal noise of the measuring instrument. Another aspect necessary to ensure a complete measurement solution that does not require pre-measurement calibration concerns the compensation of the nonlinearities of the reception path. The compensation was automatically performed by modifying the amplification of the reception path depending on the working frequency. For high levels of the measured CW signal (-50 dBm ... -10 dBm) the solution allows obtaining measurement errors of less than 0.55 dB. From the perspective of measurement uncertainty, with a value of U = ±1 dB (k=2), the instrument with the method used fits very well into the requirements for pre -compliance EMC measurements. For levels lower than -60 dBm, the error starts to increase rapidly, so that at values of -70 dBm the signal can no longer be measured.

This paper analyzes the operation of the surface permanent magnet synchronous motor (SPMSM) in a sensorless configuration, with the main objective of speed estimation. It is presented a vector control strategy independent of position sensors, implemented through a voltage inverter with prescribed currents. Advanced algorithms, including the Gopinath observer, are used to accurately determine the rotor speed and position. This plays an essential role in increasing the stability and accuracy of the control system, by reducing estimation errors and ensuring a rapid response to load variations. Performance validation was performed through simulations in the MATLAB/Simulink environment, with the results demonstrating both the accuracy and reliability of sensorless control under various operating conditions. The conclusions highlight the efficiency of the proposed method and its relevance for the development of modern electric drive technologies.

Nowadays saving the planet’s resources plays a very important role in improving our life conditions. The purpose of the paper is to supply the separately excited dc motor by using different chopper circuits. A very sustainable solution is to replace the resistors from classic theory with dc choppers for better efficiency. The armature voltage can be controlled by using IGBT chopper and the PWM signal received from controller is done with a dedicated block created by MATLAB environment. The advantages of developing this technique are that the speed changes proportionally with armature voltage and inversely with field voltage by keeping field and armature voltage constant respectively. The chopper designed with IGBT and Diode modules offers good control at any frequency value and the speed, the armature current and electromagnetic torque of DC motor can be control. In this paper, different choppers had been simulating were working in four quadrants for supply an excited dc motor by using Matlab program.