Analysis, control and design of a non-inverting buck-boost converter: A bump-less two-level T–S fuzzy PI control

Almasi, Omid Naghash; Fereshtehpoor, Vahid; Khooban, Mohammad Hassan; Blaabjerg, Frede

doi:10.1016/j.isatra.2016.11.009

Cited by 21 publications

(7 citation statements)

References 32 publications

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“…Moreover, the polarity of the output voltage is reversed with respect to the polarity of the input voltage, especially in case of the Cuk converter and conventional buckboost converter. These problems are solved by employing a NIBB DC-DC converter [36]. Therefore, in this research work, a NIBB power converter is employed as a power electronic interface between the DC source (standalone PV array) and the dynamic load, as illustrated in Fig 8.…”

Section: Non-inverting Dc-dc Buck-boost Converter State-space Average Modelingmentioning

confidence: 99%

Nonlinear robust integral backstepping based MPPT control for stand-alone photovoltaic system

et al. 2020

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PV (Photovoltaic) cells have nonlinear current-voltage (I − V) and power-voltage (P − V) characteristics with a distinct maximum power point (MPP) that entirely depends on the ambient meteorological conditions (i.e. solar irradiance and temperature). Hence, to continuously extract and deliver the maximum possible power from the PV system, under given meteorological conditions, the maximum power point tracking (MPPT) control strategy needs to be formulated that continuously operates the PV system at its MPP. To achieve this goal, a hybrid nonlinear, very fast and efficient MPPT control strategy, based on the robust integral backstepping (RIB) control, is formulated in this research article. The simulation testbed comprises a standalone PV array, a non-inverting buck-boost (NIBB) DC-DC power converter, a purely resistive and a dynamic load (sound system). The proposed MPPT control scheme consists of two loops, where the first loop generates the real-time offline reference peak power voltage through an adaptive neuro-fuzzy inference system (ANFIS) network, which is then utilized in the second loop as a set-point value for generating a control signal and then forcing the PV system to be operated at this set-point by continuously adjusting the duty ratio of the power converter. This control strategy exhibits no overshoot, fast convergence, good transient response, fast rising and settling times and minimum output tracking error. The MATLAB/Simulink platform is used to test the performance of the proposed MPPT strategy against varying meteorological conditions, plant current and voltage faults and plant parametric uncertainties. To validate the superiority of the proposed control strategy, a comparative analysis of the proposed control strategy is presented with the nonlinear backstepping (B), integral backstepping controller (IB) and conventional PID and P&O based MPPT controllers.Recently, worldwide energy demand has increased exponentially. More than 70% of the globally generated electricity is supplied by the fossil fuels (namely natural gas, coal and petroleum) [1]. Unfortunately, the available supply of these resources is shrinking abruptly, resulting in a

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Section: Non-inverting Dc-dc Buck-boost Converter State-space Average Modelingmentioning

confidence: 99%

Nonlinear robust integral backstepping based MPPT control for stand-alone photovoltaic system

et al. 2020

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“…In this paper the non-inverting buck-boost converter [9][10][11][12][13][14][15] is employed to improve the efficiency of the solar panel to charge the battery but still maintain a regulated output voltage to the battery.…”

Section: B Charge Controllersmentioning

confidence: 99%

“…The diode current is When the converter is operated in boost mode (step-up converter), equations (10) to (12) apply, Equation (10) is used to calculate the duty cycle of the switch in this mode.…”

Section: B Charge Controllersmentioning

confidence: 99%

Design of a PV Based Power Supply with a NonInverting Buck-Boost Converter

Ogudo

Umenne

2019

2019 IEEE PES/IAS PowerAfrica

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This paper presents the design of a photovoltaic based power supply using a non-inverting buck-boost converter to charge batteries. The batteries can be used to power a load as backup power when there is no sunlight. This approach presents a constant output of 48 V charging voltage for the batteries even though the input voltage may vary depending on the amount of solar irradiation falling on the solar panel. Solar charge controllers are important components in such an off-grid system because they can be used to protect the battery bank from overcharging and regulate the charging current. The buck-boost converter is used as a solar charge controller to maximize the charging voltage when the solar irradiation provides less than the required output voltage. The DC-DC converter (buck-boost converter) was modelled using the SIMetrix software to demonstrate the expected output waveforms before building the complete PV power supply.

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“…Now, the ouput has not become zero and system is stable which is shown in Fig. 10c.The controller output is limited to D max , which is calculated from (22). Further, the modified relations for inductor and capacitor are verified.…”

Section: Experimental Validation Of Steady-state Analysis Of Nonidealmentioning

confidence: 99%

“…Recently, the research on switched mode power DC-DC converters are centred on proposing new topologies [4][5][6] and control techniques [7][8][9][10][11]. Along with this, design of DC-DC power converters and analysis is also one of the interesting areas of research [12][13][14][15][16][17][18][19][20][21][22][23]. Early research [12,13] on DC-DC power converters design and analysis focused on the unreal behaviour of the elements.…”

Section: Introductionmentioning

confidence: 99%

Low‐power non‐ideal pulse‐width modulated DC–DC buck–boost converter: design, analysis and experimentation

Siddhartha

Hote

2018

IET Circuits, Devices & Systems

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In this study, parasitic elements (non-idealities) effect on a low-power DC-DC buck-boost converter design is analysed and investigation is carried out by both large (i.e. steady-state) and small signal analysis. The large signal analysis of non-ideal buck-boost converter explored the significant information such as nearly accurate duty cycle, maximum allowable duty cycle and maximum possible output voltage. Further, accurate mathematical design formulae are derived of inductor and capacitor for specified inductor current ripple and output voltage ripple (OVR), respectively. Moreover, consequences of different equivalent series resistance of capacitor on OVR is examined. Subsequently, the exact model of buck-boost converter is procured from the small signal analysis, which is almost analogous to practical system. In order to show the impact of nonidealities on controller design, an internal model control PID controller is designed for ideal, semi-non-ideal and complete nonideal systems based on their respective models, which shows the controller based on non-ideal model provides very close results to practical system. Conclusively, the complete theoretical explorations are justified by simulations and substantiated by experimental results.

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Analysis, control and design of a non-inverting buck-boost converter: A bump-less two-level T–S fuzzy PI control

Cited by 21 publications

References 32 publications

Nonlinear robust integral backstepping based MPPT control for stand-alone photovoltaic system

Nonlinear robust integral backstepping based MPPT control for stand-alone photovoltaic system

Design of a PV Based Power Supply with a NonInverting Buck-Boost Converter

Low‐power non‐ideal pulse‐width modulated DC–DC buck–boost converter: design, analysis and experimentation

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