rss_2.0Sciendo RSS Feed for Power Electronics and Driveshttps://sciendo.com/journal/PEADhttps://www.sciendo.comhttps://sciendo-parsed.s3.eu-central-1.amazonaws.com/64727010215d2f6c89dc7e8a/cover-image.jpghttps://sciendo.com/journal/PEAD140216https://sciendo.com/article/10.2478/pead-2024-0034ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00342024-11-06T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0033<abstract> <title style='display:none'>Abstract</title> <p>The significant occurrence of bearing faults in electrical machines necessitates continuous online monitoring of the machine’s operating data with the main objective of ensuring both high reliability and efficiency and therefore minimising the chance of unwanted breakdowns. This work focuses on the simulation of (defective) bearings, utilising a dedicated model with five degrees of freedom (DOF) (translational motion) in conjunction with an induction motor model. The primary objective is to gain a comprehensive understanding of how faulty bearings influence both the entire bearing itself and the machine, mainly concerning vibration signals and additional frictional torque. Additionally, various shapes of spalls on the raceway(s) are described, analysed and compared. This work is an extended version of the conference paper ‘Simulating Rolling Element Bearing Defects in Induction Machines’, presenting additional information on how to simulate spalls (with different shapes and sizes) on the inner ring of the bearing. Furthermore, the so-obtained vibration signal is examined and a method is proposed aiming to verify the simulation results and to predict the location of the spall (raceway of the inner or outer ring).</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00332024-11-02T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0032<abstract> <title style='display:none'>Abstract</title> <p>This work presents a comprehensive method for precisely determining the equivalent circuit characteristics of single-phase induction motors (SPIM), including both direct and indirect steps. First, a DC test, a no-load test and a locked-rotor test are performed to ascertain the primary electrical characteristics of both the main and auxiliary windings. Next, the indirect phase consists of iteratively modifying the mechanical characteristics, such as the inertial moment and friction factor, in a motor simulation model in Simulink until they match the previously determined electrical parameters. In addition, the motor parameter estimate process can be improved by applying the Nelder–Mead optimisation approach, which eliminates the need to calculate partial derivatives of a cost function. The study also applies the scalar control to the SPIM. Ultimately, the efficacy of the suggested methodology is confirmed through a comparison of simulated and actual outcomes.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00322024-10-18T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0031<abstract> <title style='display:none'>Abstract</title> <p>Active power filter (APF) control is a natural area of application for vibrating reference frame (VRF) transformation due to the intentional occurrence of higher harmonics in the active filter current compensating load current harmonics. Due to the vibrating frame transformation, the APF current can be represented by the DC values, and thus proportional-integral (PI) controllers are sufficient to control the converter current. However, in the typical approach, it may be impossible to combine harmonic filtration with reactive power compensation features, due to the transformation constraints. The solution to this issue is decoupling of the fundamental harmonic and high harmonic components and a separate control for each of them. This paper presents a decoupled control system of an APF, which uses VRF transformation for accurate control of high-current harmonics. Decoupling is a groundbreaking improvement of the VRF method. Moreover, different current limitation scenarios are proposed, considering both harmonics compensation and fundamental frequency reactive current compensation. Theoretical considerations are supported by simulation and experimental tests.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00312024-10-16T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0030<abstract> <title style='display:none'>Abstract</title> <p>Rotary shears are common part of the material processing lines (MPL). During the operation, these shears are loaded with impact cutting torque, which takes only short time but reaches values compared to motor-rated torque. Therefore, it is a technical challenge to ensure the speed stability during the cut. The presented paper deals with the analysis of the rotary shears’ operation and material cutting process from the control point of view and presents a cutting torque compensation possibility. Three types of speed controllers without and with cutting torque compensation are compared.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00302024-09-30T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0029<abstract> <title style='display:none'>Abstract</title> <p>The present paper addresses the energy management (EM) strategy between batteries and ultracapacitors (UCs) in a dual-propulsion urban electric vehicle (EV). The use of two propulsion machines proves advantageous for high-performance EVs facing spatial constraints. Allocating load power requirements among the propulsion machines and energy storage components poses a significant challenge in this design. In this paper, the control strategy presents managing the energy flow between the converters and the two brushless DC motors (BLDCs) motors via the DC link in order to maintain the energy demand of the EV coming from the dynamics of the latter. For this, power control is carried out by a management algorithm. This management is based on the power requested/generated by the two machines (BLDCs), the state of charge of the batteries (SOCBat) and the state of charge of the ultracapacitors (SOCUC). The bidirectional DC-DC converter is controlled with current to ensure the functioning of the motor or the generator of the vehicle. We also integrate the controls of the DC bus and BLDC. Additionally, the recovered energy during braking is stored in the battery or in the UC depending on the operating conditions.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00292024-08-23T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0026<abstract> <title style='display:none'>Abstract</title> <p>Sensors calibration plays a crucial role in controlling systems and achieving fault-tolerant control by ensuring accuracy, performance, safety, energy efficiency, and compliance with standards. It is an essential to maintain the reliability and effectiveness of modern control systems across various applications. In this paper, we represent a new algorithm that processes a set of raw data collected by a sensor to find the mapping function that relates the raw data to the real value of the measured signal by the sensor. Working on sensors with an unknown mapping function, unknown parameters, or with external disturbances, that affects their behaviour, represents a problem; moreover, it takes a lot of time and effort to calibrate the sensor before each use. Several techniques were used to overcome these aspects mostly by recording the output of the sensor for different input values that change manually, to calibrate the sensor. However, the represented technique in this paper can easily provide us with the input/output model of a specific sensor by doing only one experiment; it also improves the accuracy of the measurements as it is a self-calibrating technique that reduces the nonlinearity and noise problems to deliver a better estimation of the measured signal, which is validated in this paper experimentally using a low-cost current sensor by comparing the obtained results from this algorithm with the results using the extracted input/output model illustrated in the datasheet. Furthermore, if the sensor is pretty poor, and if the application requires more precision, the provided estimation by the mapping function can be mixed with other sensor/s readings using sensor fusion algorithms to find a more precise value of the input. The represented algorithm can also perform self-calibration while evaluating the functionality of the application and the variations of the temperature and other external disturbances that affect the sensor.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00262024-08-09T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0028<abstract> <title style='display:none'>Abstract</title> <p>The power output of photovoltaic (PV) systems, especially bifacial modules, varies due to daily fluctuations in irradiance and temperature. Maximising the efficiency and power extraction are considered crucial. Hybrid DC off-grid topologies are highly promising for rural electrification with solar energy and battery backup. These systems, tailored for household appliance use, feature low semiconductor count, continuous current ports for PV, battery and DC loads, low-voltage levels for PV and battery, voltage regulation for DC loads, maximum power point tracking (MPPT), proper battery charging and discharging, high-voltage boosting without low-frequency transformers and reduced power converter stages. However, the existing schemes often lack the above-mentioned critical features. Hence, this paper proposes a novel three-switch tri-port converter with integrated energy storage for stand-alone bifacial PV applications, with modelling and experimental validation. The battery serves as an energy storage component, regulating the DC link voltage for consistency. This paper underscores PV system power optimisation and introduces a novel tri-port converter for stand-alone bifacial PV setups, emphasising energy storage’s role in voltage regulation.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00282024-08-05T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0027<abstract> <title style='display:none'>Abstract</title> <p>Despite the existence of accurate mathematical models facilitating the analysis of photovoltaic (PV) sources’ behaviour under diverse conditions, including normal operation and situations involving mismatch phenomena such as partial shadowing and various faults (i.e., PV cells operating in forward bias and reverse bias quadrants), an important issue still persists. Crucial parameters essential for adjusting these models, particularly those related to reverse-biased characteristics such as breakdown voltage, are often absent in manufacturers’ datasheets. This omission presents a substantial challenge, as it restricts the ability to acquire comprehensive and accurate information required for a thorough analysis of devices in the second quadrant. To address this issue, our research introduces a novel method for measuring the reverse-biased I–V characteristics of individual PV cells within a module without having to dissociate them from the PV module encapsulants. The process involves measuring the forward-bias I–V curves of both the fully illuminated PV module and a partially shaded PV module with only one completely shaded cell. This can be achieved outdoors and by utilising commercially available I–V tracers. Thus, the reverse I–V curve can easily be derived from these forward bias I–V curves. Finally, the proposed method serves as a nondestructive technique for characterising solar cells in the second quadrant. This innovative approach offers a promising solution for assessing the performance and health of PV modules without causing damage and may result in significant cost savings.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00272024-08-01T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0025<abstract> <title style='display:none'>Abstract</title> <p>Artificial intelligence (AI) has emerged as a critical indicator of technological progress in recent years. The present study uses AI to enhance the efficiency of a hybrid system that operates on renewable energy sources. The hybrid system we propose consists of a wind energy conversion system (WECS), a photovoltaic system (PVS), a battery storage system (BSS) and electronic power converters. AI manages these converters cleverly. We use the maximum power point tracking (MPPT)-based fuzzy logic controller (FLC) to regulate the boost converter in the PVS and the WECS. We propose an adaptive neuro fuzzy inference system (ANFIS)-based controller to control the bidirectional converter of the storage system. The design of this module intends to maintain voltage stability on the direct current (DC) bus and improve energy quality. We study and simulate this system using MATLAB/SIMULINK. The results of this research show that the FLC-MPPT technique outperforms the Perturb and Observe (P&amp;O) algorithm in terms of efficiency in power production. The console we propose also shows good results in maintaining the voltage stability in the DC bus in comparison with the proportional integral (PI) controller. This paper has the potential to contribute to the development of environmentally friendly resource performance.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00252024-08-01T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0024<abstract> <title style='display:none'>Abstract</title> <p>This research paper proposes a novel design of an efficient combined sliding mode observer (SMO) for induction motor flux and speed estimation. The suggested sensorless technique employs the sliding mode’s second-order approach using a model reference adaptive system (MRAS). The second-order super-twisting control method is free-chattering, which lowers the chattering effect while preserving the same good features as the first-order sliding mode control (SMC). In addition, the conjunction with the MRAS as a separated speed estimator can raise the accuracy and make the observer immune to speed fluctuations, particularly for low-speed applications. Furthermore, in order to achieve effective decoupled flux–torque control, the super-twisting algorithm (STA) was combined with a non-linear feedback linearisation controller for the inner control loop construction. This strategy can boost the control system’s stability and robustness against external disturbances and modelling uncertainty. The performance analysis of the suggested methods has been carried out via simulation and experimental validation utilizing MATLAB/Simulink with the dSpace 1104 real-time interface.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00242024-07-17T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0023<abstract> <title style='display:none'>Abstract</title> <p>Magnetic decoupling principle when applied to electrical machines states that if two windings are configured for different number of pole pairs, they would not interact with each other magnetically even though they share a common magnetic core. This principle forms the basis for developing special machines where two or more machines can be integrated with the same magnetic circuit. This paper deals with formulating the mathematical analysis that determines the validity of this principle during practical conditions (i.e. non-sinusoidal winding distribution, flux saturation, etc.). Extensive Finite Element Method (FEM) simulation results from the Ansys Maxwell-2D software platform closely obey the conclusions derived from the mathematical analysis. As an example, new brushless and magnetless synchronous machines (SMs) have been developed by using this principle. It is designed by embedding an induction machine (IM) with a SM. Experimental investigations conducted on the laboratory prototype support the mathematical analysis dealt with in this paper.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00232024-07-01T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0021<abstract> <title style='display:none'>Abstract</title> <p>The present paper complements the results of several recent papers on higher-order (HO) controllers with automatic-reset. A modification of the two-step tuning of the constrained second-order derivative controllers based on integrator-plus-dead-time (IPDT) models is proposed. In the first step, the linear controller is designed using the multiple real dominant poles (MRDPs) method to avoid the slowdown of the closed-loop dynamics due to the presence of slow poles. In the second step, the smallest time constant of the numerator of the MRDP-optimal controller transfer function is selected as the automatic-reset time constant. The derived control method was tested on a thermal system for the filament disc dryer to demonstrate the deployment, tuning, use and impact of controllers with increasing derivative degree in practical applications. It is shown that the use of HO controllers is similar to the traditional hyper-reset controllers (i.e. series proportional-integral-derivative [PID] controllers) from the user’s point of view. However, the advantages are faster transient responses while maintaining sufficiently smooth input and output shapes of the process with a minimum number of monotonic intervals. The overall design can be seen as a generalisation and discretisation of the Ziegler and Nichols graphical tuning method. One of the main new features is the consideration of a constrained control signal, as is typical for a pulse width modulated (PWM) actuator. Such actuators are often used in speed-controlled electric drives and in power electronics, among other applications.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00212024-06-29T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0022<abstract> <title style='display:none'>Abstract</title> <p>This paper presents a new model reference adaptive-based control (MRAC) for a single-phase shift-modulated dual active bridge DC-DC converter (SPS-DAB) with constant power loading (CPL). The non-linear control algorithm, developed based on the reduced order model of the converter, is subjected to a thorough stability and convergence analysis. The efficacy of the proposed control strategy is verified through simulations conducted on MATLAB R2023a and PLECS 4.5.6, demonstrating its capability to counteract the destabilising effects of the CPL, while ensuring precise tracking of the dual active bridge (DAB) output voltage, even amidst parameter variations. Comparative analysis highlights the superior robustness and performance of the proposed approach over the conventional proportional-integral (PI) controllers.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00222024-06-19T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0019<abstract> <title style='display:none'>Abstract</title> <p>Generally in under-graduate studies, magnetizing inrush current (MIC) is discussed theoretically without giving much practical exposure. This paper presents the development of a low cost experimental set-up using a digital controller to study the MIC and the different parameters which can affect the same. This also helps to show how the inrush current can be minimized. This set-up also provides a hands-on experience of MIC and its control in under-graduate study, which can help an upcoming practitioner in industry as well as in further research. This paper presents a brief description of MIC, followed by a short analysis. Here, a pair of anti-parallel thyristors are connected in series with the primary winding of a single-phase power transformer. The turningon instant of this switch, with respect to the zero-crossing instant of the input supply voltage, may be adjusted through a firmware, in a PIC18F4620 from Microchip Technology microcontroller development board from Microchip Technology to control the transformer energisation instant. The firmware is developed in MPLABX-IDE from Microchip Technology, and the scheme is verified via simulations in Proteus simulation software. A suitable circuit to support the microcontroller development board to achieve the above function is designed and fabricated.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00192024-05-10T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0020<abstract> <title style='display:none'>Abstract</title> <p>Cell balancing, a critical aspect of battery management in electric vehicles (EVs) and other applications, ensures a uniform state of charge (SOC) distribution among individual cells within a battery pack, enhancing performance and longevity while mitigating safety risks. This paper examines the effectiveness of capacitor-based active cell-balancing techniques using simulations under dynamic loading conditions. Utilising MATLAB and Simulink, various circuit topologies are evaluated, considering real-world cell parameters and open-circuit voltage (OCV) curve modelling. Results indicate that advanced configurations, such as double-tiered switched-capacitor balancing, offer improved balancing speed and efficiency compared to conventional methods. However, challenges such as transient events during charging and discharging phases underscore the need for further research. By leveraging simulations and experimental data, researchers can refine cell-balancing strategies, contributing to the development of safer, more efficient battery systems for EVs and beyond. This study underscores the importance of systematic analysis and optimisation in advancing cell-balancing technology for future energy-storage applications.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00202024-05-10T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0018<abstract> <title style='display:none'>Abstract</title> <p>A quasi-Z-source network is used to boost the DC bus voltage of a voltage source two-level H-bridge inverter to increase the voltage gain. With the increase in the DC bus voltage, the common mode voltage (CMV) also increases. The CMV is reduced using virtual space vector pulse width modulation (SVPWM). Due to the presence of a quasi-Z-source network, the expression of the CMV changes significantly with respect to the conventional voltage source two-level H-bridge inverter fed from a pure DC supply. In this paper, a detailed analysis of the origin of the CMV for the quasi-Z-source two-level H-bridge inverter is presented. Additionally, it is shown how the CMV is affected for a DC input supply taken from a three-phase diode bridge rectifier. The work also details the scheme for suitable placement of shoot-through time intervals required for boosting within the non-active time intervals in virtual SVPWM. The simulation and experimental results show the scheme is effective in increasing the voltage gain and reducing the CMV arising at the third harmonic of the desired output frequency by at least 33.33%.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00182024-04-29T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0017<abstract> <title style='display:none'>Abstract</title> <p>The popularity of electrified transportation is rising at a sharp pace due to environmental concerns over internal combustion (IC) engines. Researchers are nowadays looking for a brushless and permanent magnet (PM)-less solution for electric vehicle (EV) motors. Wound-field synchronous motor (WFSM) is a potential solution for EVs and is being used in Renault Zoe EV and BMW iX3 e-Drive models. A Brushless Induction excited Synchronous Motor (BINSYM) is a WFSM where the exciter, an induction machine (IM), is embedded inside the synchronous machine (SM) frame. Two machines (SM and IM) are configured for different numbers of poles to achieve magnetic decoupling, which facilitates independent control of both machines. The purpose of IM is to maintain the excitation requirement of SM. The IM is controlled in deep-plugging mode at a constant slip frequency over the entire speed range to minimise its reactive power demand. The maximum torque per ampere (MTPA) and root mean square (rms) current minimisation algorithms are used to control the SM. Simulation of the BINSYM-based system under dynamic conditions (MTPA with varying field current and load transient) has been carried out in MATLAB/Simulink to validate the control strategies. Experimental findings from the laboratory prototype machine closely match the simulation results.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00172024-04-16T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0016<abstract> <title style='display:none'>Abstract</title> <p>This paper presents an experimental implementation of a Neural Sliding Mode Linearization approach for the control of a double-fed induction generator connected to an infinite bus via transmission lines. The rotor windings are connected to the grid via a back-to-back converter, while the stator windings are directly coupled to the network. The chosen control scheme is applied to obtain the required stator power trajectories by controlling the rotor currents and to track the desired values of the DC-link output voltage and the grid power factor. This controller is based on a neural identifier trained online using an Extended Kalman Filter. Based on such identifier, an adequate model is obtained, which is used for synthesizing the required controllers. The proposed control scheme is experimentally verified on 1/4 HP DFIG prototype considering normal and abnormal grid conditions. In addition, maximum power extraction from a random wind profile is tested in the presence of different grid scenarios. Moreover, a comparison with conventional control schemes is performed. The obtained results illustrate the capability of the proposed control scheme to achieve active power, reactive power, and DC voltage desired trajectories tracking and to operate the wind power system even in the presence of parameter variation and grid disturbances, which helps to ensure the stability of the system and improve generated power quality.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00162024-04-13T00:00:00.000+00:00https://sciendo.com/article/10.2478/pead-2024-0015<abstract> <title style='display:none'>Abstract</title> <p>The DTSTACOM is a power quality compensator that can be used in the distribution grid to compensate the demand of reactive power, which can be produced by different linear and non-linear loads. In this process, the control method of DSTATCOM is one of the key factors influencing the performance of DSTATCOM. This study aims to analyse the effect of two modulation schemes, Pulse Width Modulation (PWM) and Hysteresis Current Control (HCC), under several conditions. The proposed modelling approach and Synchronous Reference Frame (SRF) theory are used to verify reactive power compensation and total harmonic distortion (THD). Further, PWM and Hysteresis Current Control (HCC) with proportional-integral (PI) controller simulated in MATLAB for different cases, and percentage THD was calculated to prove the effectiveness of the proposed method for the control of reactive power and THD with grid-connected DSTATCOM. The results presented here justify that the HCC controller can be better than the PWM method to generate the PWM pulses for reduction of harmonics under various conditions of DTSTACOM to compensate the reactive power. Additionally, the simulation was performed to check the efficacy of the projected method to reduce THD by varying the current control band of HCC.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/pead-2024-00152024-04-12T00:00:00.000+00:00en-us-1