Power Supply Control Research Articles

A New Monitor and Control Power Supply PCB for Biasing LNAs of Large Radio Telescopes Receivers

A New Monitor and Control Power Supply PCB for Biasing LNAs of Large Radio Telescopes Receivers

Real-time FMR lorentzian visualization through a novel synchronous VNA-FMR measurement apparatus.

It is shown in this work that a synchronous measurement setup is able to conveniently and accurately retrieve ferromagnetic resonance's (FMR) main physical properties from a permalloy sample. The apparatus used comprises a vector network analyzer (VNA), coupled with external DC coils, driven by a controllable power supply. A permalloy thin film sample was subjected to a microwave signal through a grounded coplanar waveguide. A square wave signal generated by an Arduino microcontroller drives the coils to a triangular, 65.4ms period magnetic field. This field's half-cycle is synchronized to match a zero-span sampling time at the VNA. The system has the advantage of fast results, as the typical FMR lorentzian curve is completed in a few seconds and shown immediately on the VNA's scattering parameter S21 trace graph. The system showed an improved signal-to-noise ratio of 51.7 at 10GHz over 24.3 for the 100nm thick permalloy- sample used in this work. A magnetic field resonance point, collected at 10GHz, showed a five-fold improvement in the standard-error.

Low-Speed Rotating Restart and Speed Recording for Free-Running Sensorless IPMSM Based on Ultrahigh Frequency Sinusoidal Wave Injection

In the low-speed operating range of sensorless interior permanent magnet synchronous motor (IPMSM), this article proposed an ultrahigh frequency (UHF) sinusoidal voltage injection method supplied by the control power supply, and the corresponding signal injection and detection system topology are designed. The proposed method replaces the traditional high-frequency injection method to continuously detect the rotor position by injecting UHF sinusoidal detection voltage into the three-phase motor windings during the main power supply (MPS) down, thereby avoiding the loss of rotor polarity information. When the MPS is restored, there is no need to wait for the convergence process of the position observer and the rotor polarity determination process. The sensorless IPMSM can immediately resume normal operation at low speed. For applications with low load inertia, the proposed method improves the rapidness of rotating restart, realizes zero-wait operation after MPS is restored, and reduces the speed drop during the power down. For electric vehicle (EV) applications, the proposed method meets the requirements of EVs event data recorder to continuously record the motor speed when the MPS is <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</small> . The experimental results verify the correctness of the theoretical analysis and the feasibility of the proposed method.

Automated power supply control system for a food industry enterprise using a photovoltaic plant and energy storage

Automated power supply control system for a food industry enterprise using a photovoltaic plant and energy storage

A Multiport Embedded DC Power Flow Controller for Meshed DC Distribution Grids

Ring and meshed dc distribution grids have attracted increasing interest lately. Their multipoint and multiterminal structure facilitates flexible operational control and reliable power supply across the network. However, the dc grids implemented with existing power converters lack sufficient control freedoms for proper power flow adjustment; therefore, it is necessary to develop additional dc power flow controllers (DCPFCs) to be added to these grids for improved power flow control capability. Specific to multiterminal dc networks built with modular multilevel converters (MMCs), this article proposes an embedded DCPFC (e-DCPFC) directly integrated in the MMC topology. Unlike previously proposed solutions, the e-DCPFC configuration is derived from the conventional MMC and does not need any isolation transformers or external power supply. Its other main features include modular construction, convenience for multiport extension and bidirectional power flow adjustment capability. In this article, the topology, working principle, and the coordinated control strategy for e-DCPFC and its host MMC are elaborated. Experimental results from a lab prototype verify the proposed topology and its performance under typical working conditions.

Development of a Resonant Auxiliary Power Supply Control Algorithm and Resonant Destruction Detecting for Railway Vehicles

In this paper, the method and a control algorithm for detecting resonant destruction of a resonant auxiliary power supply for railway vehicle are proposed. It is essential to reduce the weight of the electric equipment attached to the lower part of the railway vehicle because it greatly affects the life of the railway vehicle, such as wheel and bearing. In order to reduce the weight and volume of the auxiliary power supply, in the case of windings, high-speed switching should be performed by lowering the input voltage. Therefore, in this paper, the auxiliary power supply control algorithm using an LLC resonant converter to reduce the weight of auxiliary power supply for railway vehicle is proposed, and the method of detecting resonant destruction due to device failure of a resonant converter is proposed. The proposed algorithm steps down the wire voltage using an input buck converter for high-speed switching, and the inverter input voltage is controlled through the LLC resonant converter. In addition, ZVS (Zero Voltage Switching) is operated to minimize the loss of the resonant converter, and the optimal design of the resonant tank is also proposed. In order to detect resonant destruction, a detection method formulated by analyzing the resonant current peak value for the load capacity is proposed. The algorithm proposed in this paper is verified by simulation and experiment.

Reliability prediction and modeling of 30 V-12 V to 5 V voltage regulator for automotive application using IEC-62380 reliability prediction standard

Before or during design and development phase of any electrical and electronic circuit, often, it is not possible to predict the reliability of the product. This results into either overdesign of the product due to excessive safety margin or poor design due to lack of understanding of duty cycle as well as the product use cases and failure modes. Specially, in the electronic product this is the acute problem as the state of technology is still evolving. Thus, design engineers cannot depend on historical data. To support the design engineer to optimize design as well as to speed up the design life cycle; reliability prediction model is required for electronic product.IEC-62380 is the reliability prediction method of electronic component, printed circuit boards, optical cards, and equipment. It is consisted of the series of mathematical model to predict the failure rate that affected by duty cycle, thermal cycling, environmental condition, various electrical stresses, quality levels and various others parameter. These factors called as the pie (π) factor in reliability analysis. In practical environment these factors are not in our controlled they are continuously varied; these variations are adopted using the Monte Carlo simulation (MCS). In this work reliability prediction and modeling is studied for controlled power supply, which is used in automotive application. The output of the modeling is failure in time (fit’s), mean time to failure (MTTF), mean time between failure (MTBF), b10 life, and failure contributor. With this output we optimize the design up to the expected reliability levels.

Research on Segmented Power Supply Technology of Microgravity Experiment facility with Electromagnetic Launch

The microgravity experiment facility with electromagnetic launch is driven and braked by a linear motor to vertically eject and recover the experimental cabin, forming a microgravity environment in the experimental cabin without external force. In order to improve efficiency and reduce power capacity, the linear motor needs segmented power supply. When the stator of linear motor is powered by sections, there are inevitable longitudinal end effect and transverse end effect, which will bring the thrust fluctuation of the motor and then affect the microgravity level of the facility. The off time of the section switch, the current and back electromotive force during off will affect the thrust fluctuation characteristics of the motor, and then affect the motion characteristics of the facility and the microgravity level. This paper focuses on the segmented power supply control method of linear motor. With real-time current acquisition, low delay power switch, current shutdown at zero crossing and other technologies, a more stable motor drive power supply is realized, the motor thrust fluctuation is reduced, the movement of the experiment cabin of the facility is more stable, and the microgravity level of the facility is improved.

Linear Active Disturbance Rejection Control of New Double Full-Bridge ZVZCS Converter for Beam Supply

In view of the unstable output voltage of the new double full bridge ZVZCS converter of beam power supply when it is disturbed by external disturbance or internal parameter change in practical application, combined with the characteristics of the beam power supply system model, this paper proposes a beam power supply control strategy based on linear active disturbance rejection control (LADRC). Firstly, the working principle of the new double full bridge ZVZCS converter of beam power supply is analyzed, and considering the parasitic parameters and effective duty cycle of circuit components, the small signal equivalent model under two working modes is established. Secondly, combined with the system model and linear active disturbance rejection control theory, a double closed-loop controller is designed, which takes the second-order LADRC as the outer voltage loop and PI control as the inner current loop. Finally, the simulation and experimental results show that the designed controller has stronger robustness, anti-interference and better dynamic response speed than the traditional double closed-loop PI controller in load switching and dual-mode switching, and has a good development prospect.

An Unsupervised Multi-Dimensional Representation Learning Model for Short-Term Electrical Load Forecasting

The intelligent electrical power system is a comprehensive symmetrical system that controls the power supply and power consumption. As a basis for intelligent power supply control, load demand forecasting in power system operation management has attracted considerable research attention in energy management. In this study, we proposed a novel unsupervised multi-dimensional feature learning forecasting model, named MultiDBN-T, based on a deep belief network and transformer encoder to accurately forecast short-term power load demand and implement power generation planning and scheduling. In the model, the first layer (pre-DBN), based on a deep belief network, was designed to perform unsupervised multi-feature extraction feature learning on the data, and strongly coupled features between multiple independent observable variables were obtained. Next, the encoder layer (D-TEncoder), based on multi-head self-attention, was used to learn the coupled features between various locations, times, or time periods in historical data. The feature embedding of the original multivariate data was performed after the hidden variable relationship was determined. Finally, short-term power load forecasting was conducted. Experimental comparison and analysis of various sequence learning algorithms revealed that the forecasting results of MultiDBN-T were the best, and its mean absolute percentage error and root mean square error were improved by more than 40% on average compared with other algorithms. The effectiveness and accuracy of the model were experimentally verified.

Power Quality Control System of High-Power-Density Switching Power Supply for Green Environment

There is higher harmonics and electromagnetic interference caused by high-power-density switching power supply during high-frequency and normal operations which affects power quality of switching power supply and also impacts the environment. To solve this problem, this paper proposes a dual digital signal processor (DSP) controller suitable for unified power quality regulators and designs high-power-density switching power supply control system for promoting green environment. The overall structure of the system is divided into two parts, the power main circuit and the control circuit. In the main power circuit, the electromagnetic interference (EMI) filter is used to filter the input AC voltage and convert it into a stable DC voltage. A high-frequency inverter is used to invert the DC voltage into a high-frequency AC voltage to achieve harmonic control and reactive power compensation. In the control circuit, dual DSP controller is used to improve real-time detection, control of the output voltage, and current and driver temperature of the high-power-density switching power supply, while high-precision analysis and processing system collect different information and then achieve the power quality control of the switching power supply based on system software to keep this environment green. The experimental results suggest that the harmonic content of the experimental objects controlled by the system is reduced by 16.7% compared with the existing power quality control and the absolute error of the system is less than 0.02 V which improves the de-noising performance. The power generation systems require that the consumption of natural resources and renewable energy solutions can assist in saving the natural resources.

Fuzzy energy management strategy for hybrid electric vehicles on battery state-of-charge estimation by particle filter

The battery/ultracapacitor hybrid power supply system can solve the problems of high cost and short life of a single power system, and the energy management of hybrid power system has become a vital issue in the field of electric vehicles. In this paper, a fuzzy energy management strategy on the state-of-charge (SOC) estimation of power battery is proposed. Particle filter (PF) algorithm is used to estimate SOC of power battery, then estimated result is regarded as the input variable of fuzzy energy management controller, and the energy distribution result is obtained after fuzzy logic operation. The simulation results show that the SOC estimation result of the PF algorithm is closer to the actual value of power battery SOC. When the SOC estimation result of PF is embedded into the fuzzy controller for joint simulation, it is found that the charge and discharge current, and SOC consumption of the power battery are reduced, which shows the algorithm’s effectiveness. It also provides a specific reference value for the further study of the power supply control strategy of hybrid electric vehicles.

Power Supply Analysis and Design for DBD Ozonizer under the Current Zero Crossing and Phase Locking Inductive Control

In order to fill the blank of practical engineering application of inductive control in ozonizer power supply, this paper probes into a scheme of high frequency and high voltage inverter for the control, and analyses operation modes to form a reasonable theoretical result, and introduces a new current zero crossing and phase locking method to adjust the address deviation and ensure that the address pointer directs to the last value of inverter current by changing the sampling period and adjusting the error of practical reference address pointer at each zero crossing point. The results from theoretical derivation, numerical simulation, and power experiment prove that the scheme can suppress the current spike caused by diode reverse recovery and reduce the power loss of switch devices, which is conducive to cost reduction. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

Optimal coil configuration analysis for the high-uniformity and large-caliber magnetic field immunity testing system

Power electronic equipment regulated by the International Thermonuclear Experimental Reactor (ITER) organization must pass the relevant steady-state magnetic field immunity test. The magnetic field immunity testing equipment studied in this paper is an interdisciplinary problem involving electrical, electronic information, structure, fluid, materials, computers, etc., and involves the integration of industrial information systems. It needs to be studied by using the analysis method of multi physical coupling. On the basis of fluid analysis, acquisition and control research and power supply design, this paper focuses on the in-depth study of the coil body. Through mathematical derivation, the magnetic field calculation formulas of several types of coil structures, two-coil and three-coil configurations are obtained in this paper. On the premise of economy, the optimal general formula of coil structure parameters is obtained. These formulas establish the relationship between the coil parameters and the required uniform magnetic field. The magnetic field distribution under various coil structures is compared and analyzed, and the distribution law is revealed. The model analysis is proven to be correct and effective by finite element software and experimental results. The research of this paper provides a theoretical basis for the design of an induction coil with a high magnetic field and high-quality uniformity.

Portable Multi Channel EEG Signal Acquisition System

This study introduces a portable multi-channel EEG signal acquisition system. The system is mainly composed of EEG electrode connector, signal conditioning circuit, EEG acquisition part, main control MCU and power supply part. The low-power EEG acquisition front-end ADS1299 and STM32 are used to form the signal acquisition and data communication part. The collected EEG signal can be transmitted to the PC for real-time display. After relevant tests, the system has small volume, low power consumption, high signal-to-noise ratio, and meets the requirements of portable wearable medical devices.

Fuzzy Multi-Mode Time–Cost–Quality Trade-Off Optimization in Construction Management of Hydraulic Structure Projects

Along with the increased use of water resources, some large water conservancy projects began construction to address power supply shortages and control flooding and drainage. As investment grows, construction cycles lengthen, external environmental impacts become bigger, and civil engineering project management becomes more complex. The real aim of the hydraulic-structure engineering project model is to manage ways of delivering the project on time while maintaining reasonable quality standards and building costs, to optimize project value. We note that the trade-off between conflicting objectives in a water conservancy project in an uncertain environment is a difficult task. To simulate the relationship between a project’s construction quality and its time limit, two new piecewise functions—a double exponential function and a quadratic function—were proposed, and then a fuzzy multi-mode discrete time–cost–quality trade-off concept for water-management projects was established. This model finds the best solution to an NP-hard problem using the particle-swarm optimization algorithm (PSO). A comparison of the calculations to previous studies validates the model and its computational approach. The optimized results of a water conservation project are provided as a conceptual framework for project planning and construction timeframes.

Modeling and Simulation of Traction Power Supply System for High-Speed Maglev Train

The electromagnetic suspension high-speed maglev train system uses long-stator linear synchronous motors (LLSMs) as levitation and traction mechanisms. In this paper, the modeling and simulation of the traction power supply system for the maglev train are performed. The simulation models include transformers, converters, variable-length cables and LLSMs of both two sides and two ends; meanwhile, the corresponding control and segmented power supply strategies, including the two-step method and three-step method, are implemented. Based on the system model, the operational performance of the high-speed maglev power supply control system is verified, and the fault performances under open circuit and short circuit are also analyzed. The whole simulation modeling and results have important reference significance for the research of high-speed maglev technology.

Model-Based Power Management for Smart Farming Wireless Sensor Networks

A model-based strategy for an efficient power supply control used in a wireless sensor network is presented. The strategy, based on Pulse-Skipping Modulation, regulates the current charging a battery, delivered by a photovoltaic source, resulting in an accurate current regulation and highly efficient power management. The strategy is implemented on a microcontroller unit and compensates for the microcontroller self-absorbed current. The modulation signal is generated through a full software interface, reducing the requirement for external components. Experimental validations, performed on a charger prototype by using a laboratory photovoltaic device simulator, proved that both regulation accuracy, regulation resolution and converter efficiency achieved are superior to the classic Pulse-Width Modulation. The approach results in a simple practical implementation, carries over the advantages of an up-to-date model for the photovoltaic device, and serves the auxiliary purpose of using the photovoltaic source as an instantaneous solar irradiance sensor.

HISOBLASH VA INFOKOMMUNIKATSIYA QURILMALARI ENERGIYA TA'MINOTI MONITORINGINING APPARAT-DASTURIY VOSITALARI

The paper reviews the use of multidimensional measuring and control variables and their modern hardware and software in conversion of power sources to secondary signals in the power supply processes of computing and infocommunication devices, the principles of monitoring them, receiving signals to ensure smooth and quality operation of devices. It also elucidates the principle of construction, model and software of working and transmitting media on an appropriate basis. The developed power supply control device is based on the ongoing processes and functional modules selected when the device was assembled. According to the main objective of the study, a monitoring algorithm and software package were developed based on the built-in system architecture. The implemented model was used to describe integration processes taking place between the hardware and software for monitoring, in detail. The research enabled developing and introducing models of IDEF database destined for collection and processing of statistical data in monitoring processes of a software package. Practical results from generation of sources of electricity and its use in enterprises by month, year and day, are presented in the form of graphs and tables.

Electromagnetic Engine Controlled using IR Sensor

The base idea of this paper is to control the electromagnetic engine to enhance a smooth rotation by measuring distance of the piston using an IR sensor. This electromagnetic engine consists of an electromagnet, permanent magnet, Infrared Sensor, powerful microcontroller and power supply. The permanent magnet acts as a piston in this electromagnetic engine, it has magnetic field energy for a proper function. The position of permanent magnet has to be noted for electromagnets energisation in order to reduce power consumption by electromagnet. The infrared sensor mounted with electromagnet set and pointed towards permanent magnet, whenever the permanent magnet moves towards electromagnet, sensor reads the change in magnetic piston position. The electromagnet is energized on the reach of permanent magnet near electromagnet. Control of electromagnets power supply is depends on the signal provided by IR sensor, this sensor is mainly makes timing control of power drive circuit through the microcontroller. This makes engine to run continuously and reducing its power consumption by providing a pulse to electromagnet.