A novel sensorless control scheme for DC-DC boost converter with global exponential stability

Malekzadeh, Milad; Khosravi, Alireza; Tavan, Mehdi

doi:10.1140/epjp/i2019-12664-4

Cited by 8 publications

(8 citation statements)

References 35 publications

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“…In References [18,19], based on the immersion and invariance (I&I) technique, a sensorless controller, which combines a nonlinear controller and state observer, is developed to stabilize boost converters. It is noted that the exponential stability of a closed-loop system is ensured.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control for DC–DC Boost Converter via Generalized Parameter Estimation-Based Observer

Zhang

Martinez-Lopez

et al. 2021

Applied Sciences

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The full-information state feedback controller is usually used for regulating the output voltage of converters. Sufficient sensors should be adopted to measure all of the states. However, the extensive use of current sensors not only increases the cost of the overall system, but also affects the reliability. In this paper, the sensorless control problem of DC–DC boost converters is addressed to avoid the need for the current sensor. First, a PI passivity-based control (PI-PBC) is proposed to stabilize this converter. The main feature of this design is that the exponential convergence of the system is guaranteed. Afterward, a generalized parameter estimation-based observer (GPEBO) is presented to estimate the inductor current with the finite-time convergence (FTC). By adding this estimate in the above PI-PBC, a sensorless controller is developed. Thanks to this FTC, the exponential convergence of an overall closed-loop system is ensured. Finally, the simulation and experimental results are given to assess the performance of the proposed controller.

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Section: Introductionmentioning

confidence: 99%

Sensorless Control for DC–DC Boost Converter via Generalized Parameter Estimation-Based Observer

Zhang

Martinez-Lopez

et al. 2021

Applied Sciences

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“…Observers could estimate required state and parameters using minimum sensor and sensorless control scheme will realize. High reliability, low cost and high efficiency make sensorless control scheme an application of interest in academy and industry [21].…”

Section: Introductionmentioning

confidence: 99%

“…In this article, inductor current and input voltage have been estimated using output voltage. In addition, Estimation of inductor current has been considered in [21]. In this study, a unified observer is designed for a class of DC-DC converters such as DC-DC boost converter.…”

Section: Introductionmentioning

confidence: 99%

An immersion and invariance based input voltage and resistive load observer for DC–DC boost converter

2019

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In this paper, a new nonlinear observer is presented for DC-DC boost converter using immersion and invariance (I&I) technique. The proposed nonlinear observer is easy to implement, simple to tune and realizes global exponential convergence of the estimation error to zero. It is assumed that the input voltage and output load of converter are unavailable and the I&I observer is designed to estimate unavailable parameters using output voltage and inductor current information. Considering optimal performance of observer, an improved particle swarm optimization algorithm is employed to determine observer gains. The search space of parameters in the proposed optimization algorithm is modified and according to this modification, the weak parameters is eliminated and the new parameters are defined for optimization process instead of them. In order to validate the effectiveness of the proposed observer, the practical test is implemented and the experimental results confirm the efficiency of the proposed I&I observer.

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“…Photovoltaic (PV) generators, usually made of silicon semiconductors, are responsible for generating electricity from solar energy (Pourmousa et al, 2019;Malekzadeh et al, 2020). Accurate modeling of PV modules is a problem because these systems are significantly nonlinear and generate different voltages and powers under different ambient conditions, particularly different irradiation and temperature (Malekzadeh et al, 2019a(Malekzadeh et al, , 2019bBastidas-Rodriguez et al, 2017) . However, an accurate model is required for design, control and evaluation of PV systems.…”

mentioning

confidence: 99%

“…However, an accurate model is required for design, control and evaluation of PV systems. Accuracy of PV models depends on parameters of the model (Lv et al, 2016;Malekzadeh et al, 2019aMalekzadeh et al, , 2019b. As these parameters which include photon current (I ph ), saturation current (I o ), ideality factor of the diode (n), series resistance (R s ) and parallel resistance (R p ) of the solar cell are not available in data sheet of the module manufacturer, researchers are trying to extract these parameters using various methods (Fathy and Rezk, 2017;Salahshour et al, 2019aSalahshour et al, , 2019b.…”

mentioning

confidence: 99%

Parameter identification of solar cells and fuel cell using improved social spider algorithm

Kashefi

Sadegheih

Mostafaeipour

et al. 2020

COMPEL

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Purpose To design, control and evaluate photovoltaic (PV) systems, an accurate model is required. Accuracy of PV models depends on model parameters. This study aims to use a new algorithm called improved social spider algorithm (ISSA) to detect model parameters. Design/methodology/approach To improve performance of social spider algorithm (SSA), an elimination period is added. In addition, at the beginning of each period, a certain number of the worst solutions are replaced by new solutions in the search space. This allows the particles to find new paths to get the best solution. Findings In this paper, ISSA is used to estimate parameters of single-diode and double-diode models. In addition, effect of irradiation and temperature on I–V curves of PV modules is studied. For this purpose, two different modules called multi-crystalline (KC200GT) module and polycrystalline (SW255) are used. It should be noted that to challenge the performance of the proposed algorithm, it has been used to identify the parameters of a type of widely used module of fuel cell called proton exchange membrane fuel cell. Finally, comparing and analyzing of ISSA results with other similar methods shows the superiority of the presented method. Originality/value Changes in the spider’s movement process in the SSA toward the desired response have improved the algorithm’s performance. Higher accuracy and convergence rate, skipping local minimums, global search ability and search in a limited space can be mentioned as some advantages of this modified method compared to classic SSA.

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A novel sensorless control scheme for DC-DC boost converter with global exponential stability

Cited by 8 publications

References 35 publications

Sensorless Control for DC–DC Boost Converter via Generalized Parameter Estimation-Based Observer

Sensorless Control for DC–DC Boost Converter via Generalized Parameter Estimation-Based Observer

An immersion and invariance based input voltage and resistive load observer for DC–DC boost converter

Parameter identification of solar cells and fuel cell using improved social spider algorithm

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