Control strategy and hardware implementation for DC–DC boost power circuit based on proportional–integral compensator for high voltage application

Padmanaban, Sanjeevikumar; Kabalcı, Ersan; Iqbal, Atif; Abu‐Rub, Haitham; Ojo, Olorunfemi

doi:10.1016/j.jestch.2014.11.005

Cited by 20 publications

(9 citation statements)

References 15 publications

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“…A proper controller of the converters is to be designed for easy and reliable operation of an entire system in DC Microgrid [4,17,18]. As there are several drawbacks in the hardware implementation of the controller such as lowering of the efficiency, increasing use of hardware components, and power loss [19], and as the output of power sources consists of ripples voltage [20], digital control methods have gained importance for its operational reliability and flexibility [21,22,23]. Current control methods are extensively used in the converters for better performance and simple design [24].…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Digitally Controlled DC-DC Boost Converter for the Operation in DC Microgrid

Barui¹,

Goswami²,

Mondal³

2020

JES

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Renewable energy sources (RESs) are becoming increasingly important day by day to tranquilize the world’s energy crisis and consume fossil fuels in the lower rung. A microgrid system that assimilates clean and green energy-based sources such as solar, wind, and biogas is acquiring much prominence over the conventional grid-based power systems in this day and age. For the up and running of the inexhaustible energy sources in the AC power network, numerous conversions of the power sources occur. In the process of conversion, some amount of power is lost, which minimizes conversion efficiency. However, with the increasing use of DC loads and Distributed Energy Resources (DERs), DC Microgrid could be more beneficial than the conventional AC power system by avoiding several types of drawbacks. This paper demonstrates an efficient system of digitally controlled boost converter for the parallel operation in DC microgrid. Here, the converter of 2.5kW 400V is designed and implemented to validate its functioning in a Microgrid. The whole system has been simulated in MATLAB with an input voltage range of 220–380 V. It has been found that the designed converter can maintain the desired output voltage in the DC Busbar at and around 400 V. Finally, some simulation results have been presented to analyze the converter’s operational characteristics and effectiveness in the practical domain.

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Section: Literature Reviewmentioning

confidence: 99%

Design of Digitally Controlled DC-DC Boost Converter for the Operation in DC Microgrid

Barui¹,

Goswami²,

Mondal³

2020

JES

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“…The weightages of aforementioned error dynamics are denoted as the proportional gain ( k P ) and integral gain ( k I ), respectively. The integer‐order PI control law is given by Equation

d ((), t) = k_{p} e ((), t) + k_{I} \int_{0}^{T} e ((), τ) italicdτ

such that,

e ((), t) = u_{o} ((), t) - u_{ref} ((), t) .

Fractional calculus deals with the integration and differentiation operators having real‐numbered fractional exponents.…”

Section: Fractional‐order Proportional‐integral Controllermentioning

confidence: 99%

Time‐optimal control of DC‐DC buck converter using single‐input fuzzy augmented fractional‐order PI controller

Saleem

Shami

Mahmood-ul-Hasan

2019

Int Trans Electr Energ Syst

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Summary This paper presents a robust and optimal output‐voltage tracking controller for a DC‐DC buck converter. A fractional‐order proportional‐integral (FPI) controller is primarily used to eliminate the steady‐state error and damp the oscillations. In order to improve the error convergence rate of the response, the FPI controller is augmented with a single‐input fuzzy‐logic based precompensator stage. The fuzzy precompensator aggregates the information regarding the error and error derivative using the signed‐distance method. The derived aggregated signal is used to infer logical control decisions based on a predefined one‐dimensional rule base. The simplification yields shorter computation time and a piecewise linear control surface that improves the system's immunity against exogenous disturbances and unprecedented nonlinearities. The error derivative is indirectly computed by measuring the capacitor current in real time. This modification further enhances the computational efficiency, offers minimum‐time transient recovery, and compensates the hysteresis effect rendered by parasitic impedances. The controller gains are optimally selected using the particle swarm optimization algorithm. Credible hardware‐in‐the‐loop experiments are conducted to validate the time optimality and robustness of the proposed controller. The experimental results clearly demonstrate the significant improvement rendered by the proposed controller in the system's reference tracking performance, disturbance‐rejection capability, and transient recovery time.

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“…The closed loop MPPT based standalone PV system as shown in fig 1 has been modeled to work independently from the grid. From the block diagram it could be observed that the output of MPPT controller is applied to DC-DC converter with adjustable duty ratio in order to improve the performance of DC-DC converter [3]. The inverter block is fed with the feedback controller using PSO technique which senses the voltage and current from the output of inverter and improves the PWM signal fed to the switches of inverter in order to improvise the output AC signal.…”

Section: Proposed Stand Alone Pv Systemmentioning

confidence: 99%

Modeling, simulation and experimental investigation of closed loop MPPT based single phase stand alone photo voltaic system using particle swarm optimization technique

Thakre¹,

Deshmukh²

2018

IJET

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Standalone photovoltaic (PV) systems are implemented to perform independently from the utility grid. Such system are beneficial for certain AC as well as DC loads; that too especially where conventional energy cannot reach. To make such system more efficient and independent, a closed loop control could be employed. This research paper presents a novel approach to model and simulate a closed loop maximum peak power tracking (MPPT) based single phase stand alone system using particle swarm optimization (PSO) technique. Based on the simulation results, an experimental investigation has been successfully carried out.

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Control strategy and hardware implementation for DC–DC boost power circuit based on proportional–integral compensator for high voltage application

Cited by 20 publications

References 15 publications

Design of Digitally Controlled DC-DC Boost Converter for the Operation in DC Microgrid

Design of Digitally Controlled DC-DC Boost Converter for the Operation in DC Microgrid

Time‐optimal control of DC‐DC buck converter using single‐input fuzzy augmented fractional‐order PI controller

Modeling, simulation and experimental investigation of closed loop MPPT based single phase stand alone photo voltaic system using particle swarm optimization technique

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