scholarly journals Sensorless Voltage Observer for a Current-Fed High Step-Up DC-DC Converter Using Extended Kalman Filter

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2066
Author(s):  
Karim Haadi ◽  
Amirhossein Rajaei ◽  
Mahdi Shahparasti ◽  
Akbar Rahideh
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Output Voltage ◽  
Good Precision ◽  
Voltage Transformer ◽  
Control Techniques ◽  
Parasitic Parameters ◽  
Magnetizing Current ◽  
The Cost ◽  
A Current

In high voltage applications, sensorless voltage control techniques can reduce the cost and increase the reliability of DC-DC converters. In this paper, a sensorless voltage observer for a current fed Cockcroft-Walton voltage multiplier is designed. The first step is to derive the converter model. Since any inaccuracy in the derived model can result in a discrepancy between the observed voltage and the actual output voltage, an accurate model is derived, which incorporates the influential elements. Then, two voltage observers based on the extended Kalman filter (EKF) are designed and used to estimate the output voltage, transformer magnetizing current and inductor current for two different configurations of the high step-up DC-DC converter. Experimental and simulation results of the system show the efficiency of the observers. The proposed observers represent good precision as the main parasitic parameters are considered in the converter model.

Discussion of the Performance of VRB Based on Modeling by Using EKF to Estimate SOC

2012 ◽  
Vol 512-515 ◽  
pp. 1364-1370 ◽  
Author(s):  
Jin Ding Lu ◽  
Gang Sun ◽  
Yue Jin Tang ◽  
Li Ren ◽  
Jing Shi
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Output Voltage ◽  
Redox Flow Batteries ◽  
Battery Capacity ◽  
Flow Batteries ◽  
Operating Current ◽  
Vanadium Redox ◽  
Capacity Output

There are several ongoing researchers on searching for an appropriate model to describe the characteristic of Vanadium redox flow batteries(VRB) .Based on one of these models, a SOC estimator of VRB- Extended Kalman Filter (EKF) is advanced. And then, update the VRB model by using EKF to estimate SOC when simulation in SIMULINK. At last, the effects of the temperature and operating current on performance of VRB, including battery capacity, output voltage, efficiencies are discussed.

Extended Kalman filter-based state estimation of MOSFET circuit

2019 ◽  
Vol 38 (6) ◽  
pp. 1885-1903
Author(s):  
Rahul Bansal ◽  
Sudipta Majumdar
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Input Signal ◽  
Output Voltage ◽  
State Space Model ◽  
Oxide Semiconductor ◽  
Content Type ◽  
Saturation Region ◽  
Inaccurate Estimation ◽  
Effect Transistor

Purpose This paper aims to present the estimation of the output voltage of metal oxide semiconductor field effect transistor (MOSFET) using the extended Kalman filter (EKF) method. Design/methodology/approach The method uses EKF for MOSFET output voltage estimation. To implement the EKF method, the state space model has been obtained using Kirchhoff’s current law and Enz-Krummenacher-Vittoz model of the MOSFET circuit. Findings The proposed method can be used for any mode of MOSFET operation besides near the quiescent point region. The nonlinearity that occurs in the saturation region of MOSFET can also be considered in the proposed method. The proposed method can also be used for a large input signal. Though Kalman filter can be used for the small amplitude input signal, it results in inaccurate estimation due to the linearization of the nonlinear system. Research limitations/implications The method is able to track the parameters when they are slowly changing with time. Originality/value The proposed method presents maximal precision of simulation as the maximal precision of simulation requires modeling of the circuit in terms of device parameters and circuit elements.

scholarly journals Flux-Balance Control for LLC Resonant Converters with Center-Tapped Transformers

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3211 ◽  
Author(s):  
Yuan-Chih Lin ◽  
Ding-Tang Chen ◽  
Ching-Jan Chen
Keyword(s):  
Control Strategy ◽  
Output Voltage ◽  
Balance Control ◽  
Input Voltage ◽  
Resonant Converters ◽  
Current Sensing ◽  
Flux Balance ◽  
Magnetizing Current ◽  
Current Estimator ◽  
A Current

LLC resonant converters with center-tapped transformers are widely used. However, these converters suffer from a flux walking issue, which causes a larger output ripple and possible transformer saturation. In this paper, a flux-balance control strategy is proposed for resolving the flux walking issue. First, the DC magnetizing current generated due to the mismatched secondary-side leakage inductances, and its effects on the voltage gain are analyzed. From the analysis, the flux-balance control strategy, which is based on the original output-voltage control loop, is proposed. Since the DC magnetizing current is not easily measured, a current sensing strategy with a current estimator is proposed, which only requires one current sensor and is easy to estimate the DC magnetizing current. Finally, a simulation scheme and a hardware prototype with rated output power 200 W, input voltage 380 V, and output voltage 20 V is constructed for verification. The simulation and experimental results show that the proposed control strategy effectively reduces the DC magnetizing current and output voltage ripple at mismatched condition.

scholarly journals Improved Sensorless Control of Doubly Fed Induction Motor Drive Based on Full Order Extended Kalman Filter Observer

2019 ◽  
Vol 64 (1) ◽  
pp. 64-73
Author(s):  
Djamila Cherifi ◽  
Yahia Miloud
Keyword(s):  
Kalman Filter ◽  
Induction Motor ◽  
Extended Kalman Filter ◽  
Speed Control ◽  
Induction Motor Drive ◽  
Adaptive Fuzzy ◽  
Fuzzy Pi Controller ◽  
Doubly Fed ◽  
The Cost ◽  
Interesting Solution

The paper deals with a Doubly Fed Induction Motor (DFIM) supplied by two PWM voltages inverters. The aims of this paper are sensorless adaptive Fuzzy-PI speed control decoupled by a vector control applied to a Doubly Fed Induction Motor using full order Extended Kalman Filter. The application of the adaptive Fuzzy-PI controller for speed control brings a very interesting solution to the problems of robustness and dynamics. In order to reduce the number of sensors used, and thus the cost of installation, Extended Kalman Filter Observer is used to estimate the rotor speed, rotor fluxes and stator currents, this observer is a unique observer which offers best possible filtering of the noise in measurement and of the system if the noise covariances are known. Simulation results of the proposed scheme show good performances.

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