Evaluation of adaptive passivity-based controller for power factor correction using a boost converter

Seleme, Seleme Isaac; Rosa, Arthur H. R.; Morais, Lenin Martins Ferreira; Donoso-Garcia, P.F.; Cortizo, P.C.

doi:10.1049/iet-cta.2011.0218

Cited by 25 publications

(19 citation statements)

References 29 publications

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“…-PBC: has medium complexity, needs more measurements and control parameters to better estimate the load and regulate the output capacitor voltage. It is the most recommended technique for PFC systems, since it offers lower THD levels [13]. It has the same processing time as the SFL control because of the same amount of division operations, which effectively determine the total processing time (sums and multiplications offer irrelevant contributions).…”

Section: Shil Results For Second Order Power Converters and Comparisonmentioning

confidence: 99%

“…In this context, there is a growing demand for new controllers to deal with this problem. Some nonlinear methods, such as SFL [11,12], PBC [13,14], IDA-PBC [15][16][17], fuzzy logic control [18], backstepping approach [19], predictive control [20], piecewise affine (PWA) [21] and repetitive control [22] have been designed and implemented in power converters.…”

Section: Modeling and Control Equationsmentioning

confidence: 99%

“…This section presents the relevant models and control equations used in this work, collected in a literature review [10][11][12][13][14][15][16][17]. Notice in Figure 3, the Euler Lagrange (EL) is the base model to find the others.…”

Section: Modeling and Control Equationsmentioning

confidence: 99%

“…Other definitions about passivity, as well as the equations necessary to control in view of this method, can be visualized in [10,13].…”

Section: Appendix a Nonlinear Controllersmentioning

confidence: 99%

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SHIL and DHIL Simulations of Nonlinear Control Methods Applied for Power Converters Using Embedded Systems

et al. 2018

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In this work, a new real-time Simulation method is designed for nonlinear control techniques applied to power converters. We propose two different implementations: in the first one (Single Hardware in The Loop: SHIL), both model and control laws are inserted in the same Digital Signal Processor (DSP), and in the second approach (Double Hardware in The Loop: DHIL), the equations are loaded in different embedded systems. With this methodology, linear and nonlinear control techniques can be designed and compared in a quick and cheap real-time realization of the proposed systems, ideal for both students and engineers who are interested in learning and validating converters performance. The methodology can be applied to buck, boost, buck-boost, flyback, SEPIC and 3-phase AC-DC boost converters showing that the new and high performance embedded systems can evaluate distinct nonlinear controllers. The approach is done using matlab-simulink over commodity Texas Instruments Digital Signal Processors (TI-DSPs). The main purpose is to demonstrate the feasibility of proposed real-time implementations without using expensive HIL systems such as Opal-RT and Typhoon-HL.

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Section: Shil Results For Second Order Power Converters and Comparisonmentioning

confidence: 99%

Section: Modeling and Control Equationsmentioning

confidence: 99%

Section: Modeling and Control Equationsmentioning

confidence: 99%

“…Other definitions about passivity, as well as the equations necessary to control in view of this method, can be visualized in [10,13].…”

Section: Appendix a Nonlinear Controllersmentioning

confidence: 99%

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SHIL and DHIL Simulations of Nonlinear Control Methods Applied for Power Converters Using Embedded Systems

et al. 2018

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“…However, the derived control laws do not guarantee the global stability of the closed-loop system and neither can maintain the same performances in the whole operation domain. Other control approaches have also been applied such as sliding mode control [5][6][7][8][9] based on a non-linear averaged model of the DC-DC converter, and passivity control [10,11] using an energetic control-design model.…”

Section: Introductionmentioning

confidence: 99%

Advanced control laws of DC–DC converters based on piecewise affine modelling. Application to a step‐down converter

Vlad

Rodríguez-Ayerbe

Godoy

et al. 2014

IET Power Electronics

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This study proposes two control techniques for a buck converter operating in continuous conduction mode at a fixed switching frequency. The non-linear behaviour of this switched system is represented by a discrete piecewise affine (PWA) model. The PWA representation offers a precise approximation of the converter's dynamics in the whole operating domain and also allows the investigation of system's stability and the design of different control laws. The first control approach corresponds to a piecewise linear (PWL) state-feedback controller, designed by using a piecewise quadratic Lyapunov function and by solving a set of linear matrix inequalities. This control method guarantees the stability of the closed-loop system for a wide range of operating points. The second control strategy is a model predictive control. The constrained optimal control problem is formulated and solved using the PWA approximation as a prediction model. The explicit form of the control law is derived off-line as an affine state-feedback controller and stored in a look-up table for implementation. Both PWL and PWA controllers are validated experimentally, showing better performances in comparison with a proportional-integral or constant state-feedback controller.

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Passivity‐based control for a DC/DC high‐gain transformerless boost converter

Langarica‐Cordoba

Martinez‐Rodriguez

Diaz-Saldierna

et al. 2022

Asian Journal of Control

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In this work, an adaptive passivity‐based controller for a DC‐DC high‐gain transformerlessdouble‐inductor boost converter is fully detailed. The proposed current‐mode control scheme results in two feedback loops, a current controller for tracking the inductor current considering damping injection and energy shaping, and a voltage loop composed by a proportional‐integral action to guarantee output voltage regulation. Furthermore, a parametric uncertainty estimator using immersion‐invariance approach is designed to improve the robustness of the current loop. As a result, a multi‐loop adaptive nonlinear energy‐based controller, which ensures regional asymptotic stability via Lyapunov analysis is accomplished. In addition, considering practical conditions, real‐time numerical simulations, using a 1 kW case‐study converter, are carried out in order to assess the effectiveness of the proposed control scheme. Results for output voltage regulation, current tracking, and parametric uncertainty estimation under input voltage and load step changes are shown.

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Evaluation of adaptive passivity-based controller for power factor correction using a boost converter

Cited by 25 publications

References 29 publications

SHIL and DHIL Simulations of Nonlinear Control Methods Applied for Power Converters Using Embedded Systems

SHIL and DHIL Simulations of Nonlinear Control Methods Applied for Power Converters Using Embedded Systems

Advanced control laws of DC–DC converters based on piecewise affine modelling. Application to a step‐down converter

Passivity‐based control for a DC/DC high‐gain transformerless boost converter

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