A Reconfigurable Buck, Boost, and Buck-Boost Converter: Unified Model and Robust Controller

Licea, Martín Antonio Rodríguez; Pérez-Pinal, Francisco J.; Gutiérrez, Alejandro Israel Barranco; Ramírez, Carlos Alonso Herrera; Pérez, José Cruz Núñez

doi:10.1155/2018/6251787

Cited by 9 publications

(5 citation statements)

References 28 publications

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“…For instance, a buck, a boost or a buck-boost converter stands for the PEC in the most common scenarios. In order to consider any of the above PECs, even in an on-the-fly reconfiguration between them, the reconfigurable PEC (RPEC) from [24] is used. This means that the following analysis is valid for any of the mentioned configurations even if a reconfiguration is performed.…”

Section: Voltage-mode Modelingmentioning

confidence: 99%

“…where From [24], the above mathematical representation is valid also for boost and for buck-boost topologies depending on the u value, that is in a reconfigurable scheme. Three operation modes are allowed, and each one of them is selected by a proper switching activation and by a pulse width modulation (PWM) MOSFET activation: where the following is obtained:…”

Section: Voltage-mode Modelingmentioning

confidence: 99%

“…However, the voltage can be increased up to 400 V if a size reduction is needed. Finally are the low power loads, which include devices located in bedrooms, living rooms and outdoor areas ( [24,48] V, less than 0.4 kW).…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear Robust Control for Low Voltage Direct-Current Residential Microgrids with Constant Power Loads

et al. 2018

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A Direct Current (DC) microgrid is a concept derived from a smart grid integrating DC renewable sources. The DC microgrids have three particularities: (1) integration of different power sources and local loads through a DC link; (2) on-site power source generation; and (3) alternating loads (on-off state). This kind of arrangement achieves high efficiency, reliability and versatility characteristics. The key device in the development of the DC microgrid is the power electronic converter (PEC), since it allows an efficient energy conversion between power sources and loads. However, alternating loads with strictly-controlled PECs can provide negative impedance behavior to the microgrid, acting as constant power loads (CPLs), such that the overall closed-loop system becomes unstable. Traditional CPL compensation techniques rely on a damping increment by the adaptation of the source or load voltage level, adding external circuitry or by using some advanced control technique. However, none of them provide a simple and general solution for the CPL problem when abrupt changes in parameters and/or in alternating loads/sources occur. This paper proposes a mathematical modeling and a robust control for the basic PECs dealing with CPLs in continuous conduction mode. In particular, the case of the low voltage residential DC microgrid with CPLs is taken as a benchmark. The proposed controller can be easily tuned for the desired response even by the non-expert. Basic converters with voltage mode control are taken as a basis to show the feasibility of this analysis, and experimental tests on a 100-W testbed include abrupt parameter changes such as input voltage.

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Section: Voltage-mode Modelingmentioning

confidence: 99%

Section: Voltage-mode Modelingmentioning

confidence: 99%

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Nonlinear Robust Control for Low Voltage Direct-Current Residential Microgrids with Constant Power Loads

et al. 2018

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“…Furthermore, a robust controller is designed by polytopic representation, and a Lyapunov based switched stability analysis of the closed-loop system is presented. e experimental results show that the robust stability under arbitrarily fast parameter variations and reconfiguration changes [10].…”

Section: Introductionmentioning

confidence: 98%

Intelligent Control Using Metaheuristic Optimization for Buck-Boost Converter

Chanjira¹,

Tunyasrirut²

2020

Journal of Engineering

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This research aims to introduce an intelligent controlling system of windmill-generated voltage connected to a load of 12 V. As natural wind speed lacks consistency, the resultant irregular voltage can lead to system damage. In the experiment, a buck-boost converter is not only designed to control such voltage but also tuned by intelligent methods. It is very challenging to control the system. PI controller is developed using metaheuristic optimization, an artificial fish-swarm algorithm (AFSA). In testing, the buck-boost converter is controlled by the PI controller at a reference voltage of 14 V and supplied with an input voltage Vin in the range of 5–100V. The result shows that, even with inconstant Vin, the system can effectively control the reference voltage at 14 V.

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“…This popular topology is often employed in industrial applications as a single PEC [26] and as a part of a PES [22,24,27]. It can also be a part of a more advanced reconfigurable circuit like one described in [28] Despite of its simple topology, it represents a challenge in terms of the control because of its controlto-output transfer function right-half plane zero [29]. Of course, such a topology in many applications also requires a current control loop or at least some sort of current limiting [30].…”

Section: Introductionmentioning

confidence: 99%

Selection of Output Voltage Compensators Gains in Two Cascaded Boost Converters with Input Filters by Means of the \({\mathfrak{D}}\)-Decomposition Technique

Najdek¹,

Nalepa²,

Lis³

2021

Energies

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In this paper, the D-decomposition technique is investigated as an intuitive method for finding the non-linear trajectories of PI-compensator gains. The trajectories reflect the desired dynamic properties at a system level specified by the gain and the phase margin (GMPM) in the frequency domain. They are presented as parametric curves in the proportional and the integral gains coordinates in form of KI=f(KP) functions. The curves are inscribed into global stability boundaries (GSB). The corresponding Nyquist plots are included for comparison. The analysis is based on a system consisting of two serial-connected boost converters. Each converter has its input filter. The major parasitic components of the system are taken into account during the mathematical and simulation modelling. The control circuit time delays and non-linear semiconductors characteristics are also included. A complete set of practically useful system-level transfer functions in form of mathematical formulas is included. Selected aspects, such as the control-to-output voltage and the control-to-input current of one sub-system of the simulation model, have been verified experimentally. The presented results clearly indicate the need for interactions between the sub-systems of a system to be taken into account during controller gains selection.

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A Reconfigurable Buck, Boost, and Buck-Boost Converter: Unified Model and Robust Controller

Cited by 9 publications

References 28 publications

Nonlinear Robust Control for Low Voltage Direct-Current Residential Microgrids with Constant Power Loads

Nonlinear Robust Control for Low Voltage Direct-Current Residential Microgrids with Constant Power Loads

Intelligent Control Using Metaheuristic Optimization for Buck-Boost Converter

Selection of Output Voltage Compensators Gains in Two Cascaded Boost Converters with Input Filters by Means of the \({\mathfrak{D}}\)-Decomposition Technique

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