ANN-Based MPPT Controller for PEM Fuel Cell Energized Interleaved Resonant PWM High Step Up DC-DC Converter with SVPWM Inverter Fed Induction Motor Drive

Karthikeyan, B.; Sundararaju, K.; Palanisamy, R.

doi:10.1007/s40998-021-00413-0

Cited by 9 publications

(6 citation statements)

References 18 publications

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“…In order to have a proper PEMFC control action with suitable computational complexity, it is necessary to reduce the order of the model describing the system dynamics. For this purpose, the first-order delayed model is used to approximate the dynamic Equations ( 5) to (8). According to Reference 19, the general form of the firstorder PEMFC model is as follows:…”

Section: Nonlinear Pemfc Dynamic Modelmentioning

confidence: 99%

“…5,6 Among the fuel cell types, a proton exchange membrane fuel cell (PEMFC) is widely used in stationary applications and transportation due to its fast start-up time, high efficiency, high power density, low operating temperature, and optimal power-to-weight ratio, and is more developed than other fuel cells. 7,8 This cell consists of an electrolyte located between two thin electrodes at the anode and cathode. Hydrogen is fed to the anode electrode, whereas air is pumped into the cathode electrode.…”

Section: Introductionmentioning

confidence: 99%

“…Among these types of sources, fuel cells are of particular importance because they require cheap and abundant available primary resources to generate electricity from the reaction of hydrogen and oxygen, and also have very low environmental pollution 5,6 . Among the fuel cell types, a proton exchange membrane fuel cell (PEMFC) is widely used in stationary applications and transportation due to its fast start‐up time, high efficiency, high power density, low operating temperature, and optimal power‐to‐weight ratio, and is more developed than other fuel cells 7,8 …”

Section: Introductionmentioning

confidence: 99%

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A novel fuzzy reset method for pressure control of proton exchange membrane fuel cell in the presence of uncertainty

Golshan

2021

Intl J of Energy Research

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Summary Proton exchange membrane fuel cell as one of the most progressive and extensively used kinds of fuel cells has an effect character in the creation of renewable energy, and control of its principal modules, including the supply manifold, is one of the objectives of recent research. This study suggests a novel robust structure to regulate the supply manifold pressure at the cathode side in addition to cover the nonlinear behavior of fuel cells and achieve optimal performance. Therefore, this article studies a delayed transfer function model that, in addition to considering the effects of uncertainty and the nonlinear behavior of the supply manifold, has the simplicity necessary for designing an operational control method. The proposed control method also consists of two main parts: One is the reset control method, which is designed to improve the transient response in adjusting the supply manifold pressure, and the other is the fuzzy part, which is planned to tune the reset control method coefficients. The simulation and comparison results show the capabilities of the proposed hybrid method to improve the transient response of the system from different perspectives and stability despite the effects of uncertainty.

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Section: Nonlinear Pemfc Dynamic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel fuzzy reset method for pressure control of proton exchange membrane fuel cell in the presence of uncertainty

Golshan

2021

Intl J of Energy Research

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“…C) Comparative analysis. Figure 19 compares the DC voltage gain of both conventional [38] and proposed converters under different duty cycles, which includes the topologies of step up DC-DC, multi-input DC-DC, boost DC-DC, and interleaved resonant PWM high step-up (IRPHS) DC-DC. In addition to that, the efficiency of converter is highly depends on the voltage gain output.…”

Section: Introductionmentioning

confidence: 99%

Design of LLC resonant converter with silicon carbide MOSFET switches and nonlinear adaptive sliding controller for brushless DC motor system

Suba

Kumaresan

2022

Electrical Engineering & Electromechanics

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Introduction. The high voltage gain DC-DC converters are increasingly used in many power electronics application systems, due to their benefits of increased voltage output, reduced noise contents, uninterrupted power supply, and ensured system reliability. Most of the existing works are highly concentrated on developing the high voltage DC-DC converter and controller topologies for goal improving the steady state response of brushless DC motor driving system and also obtain the regulated voltage with increased power density and reduced harmonics, the LLC resonant DC-DC converter is implemented with the silicon carbide MOSFET switching devices Problem. Yet, it facing the major problems of increased switching loss, conduction loss, error outputs, time consumption, and reduced efficiency. Also the existing works are mainly concentrating on improving the voltage gain, regulation, and operating performance of the power system with reduced loss of factors by using the different types of converters and controlling techniques. The goal of this work is to obtain the improved voltage gain output with reduced loss factors and harmonic distortions. Method. Because, this type of converter has the ability to generate the high gain DC output voltage fed to the brushless DC motor with reduced harmonics and loss factors. Also, the nonlinear adaptive sliding controller is implemented to generate the controlling pulses for triggering the switching components properly. For this operation, the best gain parameters are selected based on the duty cycle, feedback DC voltage and current, and gain of silicon carbide MOSFET. By using this, the controlling signals are generated and given to the converter, which helps to control the brushless DC motor with steady state error. Practical value. The simulation results of the proposed LLC silicon carbide MOSFET incorporated with nonlinear adaptive sliding controller controlling scheme are validated and compared by using various evaluation indicators.

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“…The SPWM technique is preferred in applications producing different voltage levels, for example at variable wind speeds such as wind energy systems, because of its easy applicability, low cost and low Total Harmonic Distortion (THD) [7]. For this reason, it is used as the control signal of the circuit topologies used to stabilize the network voltage [8].…”

Section: Introductionmentioning

confidence: 99%

Sensorless current prediction in single phase inverter circuits with machine learning algorithms

Türe

Balci

Sabancı

et al. 2021

Journal of Energy Systems

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Inverter circuits are widely used in power electronics applications such as electric motor control, induction heating or different Alternating Current (AC) loads. The control signal applied to the switching elements can affect the quality of the sinusoidal signal that occurs at the output of the inverter circuit by the means of voltage and current values. The inverter circuit topologies are generally designed as closed loop. However, these cause complexity of the circuit topology, increase the production costs and give difficulties in designing the control signals. In the present work, simulations of a single-phase inverter circuit with the Sinusoidal Pulse Width Modulation (SPWM) control signal are performed. Thus, the effect of the SPWM signals on the output of the inverter has been observed by changing the Modulation rate (M), the carrier signal frequency ( ) and the reference signal frequency ( ). Through the data obtained, the output current of a phase inverter without a sensor is estimated by Machine Learning Algorithms (MLA) such as Multi-Layer Perceptron (MLP), Support Vector Machine (SVM) and K-Nearest Neighbors (KNN).

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ANN-Based MPPT Controller for PEM Fuel Cell Energized Interleaved Resonant PWM High Step Up DC-DC Converter with SVPWM Inverter Fed Induction Motor Drive

Cited by 9 publications

References 18 publications

A novel fuzzy reset method for pressure control of proton exchange membrane fuel cell in the presence of uncertainty

A novel fuzzy reset method for pressure control of proton exchange membrane fuel cell in the presence of uncertainty

Design of LLC resonant converter with silicon carbide MOSFET switches and nonlinear adaptive sliding controller for brushless DC motor system

Sensorless current prediction in single phase inverter circuits with machine learning algorithms

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