Nonlinear Modeling of DC/DC Converters Using the Hammerstein's Approach

Alonge, F.; D’Ippolito, Filippo; Raimondi, Francesco; Tumminaro, S.

doi:10.1109/tpel.2007.900551

Cited by 70 publications

(43 citation statements)

References 26 publications

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“…White-box models (first principle models), which require significant knowledge of converter structure and parameters, have been developed both to capture the switching operation [9] of the converter and to represent the averaged behavior of the converter [10,11]. At the same time, black-box experimental models (datadriven models) have been developed [12][13][14] using system identification approaches. Black-box models are typically also less computationally demanding.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Modeling of a Commercial Photovoltaic Microinverter

Abbood

Benigni

2018

Modelling and Simulation in Engineering

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We present a data-driven modeling (DDM) approach for static modeling of commercial photovoltaic (PV) microinverters. The proposed modeling approach handles all possible microinverter operating modes, including burst mode. No prior knowledge of internal components, structure, and control algorithm is assumed in developing the model. The approach is based on Artificial Neural Network (ANN) and Fast Fourier Transform (FFT). To generate the data used to train the model, a Power Hardware in the Loop (PHIL) approach is applied. Instantaneous inputs-outputs data are collected from the terminals of a commercial PV microinverter at time domain. Then, the collected data are converted to the frequency domain using Fast Fourier Transform (FFT). The ANNs that are the core of the DDM are developed in frequency domain. The outputs of the ANNs are then converted back to time domain for validation and use in system level simulation. The comparison between measured and simulated data validates the performance of the presented approach.

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Section: Introductionmentioning

confidence: 99%

Data-Driven Modeling of a Commercial Photovoltaic Microinverter

Abbood

Benigni

2018

Modelling and Simulation in Engineering

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“…For more advanced control design, state variable model is usually a prerequisite. Various modeling approaches for switching power converters of complex topology have been proposed in the literature [15][16][17][18][19][20]. Most of them have been successful in terms of modeling the "local" behavior (i.e., small signal model) or analysis of the fundamental characteristics.…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Fuzzy Control for a Class of Switching Power Converters

Chen¹

2017

Modern Fuzzy Control Systems and Its Applications

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This chapter provides the reader with a control-centric modeling and analysis approach along with a nonlinear control design for a class of switching power converters. A comprehensive model combining the respective state variable models of the interval subsystems is established. Comparison with PSpice simulation justifies the credibility of the model. Based on this model, internal/BIBO stability can be studied for each interval subsystem. Moreover, controllability and observability can also be analyzed to help determine subsequent control configuration. The established model is further investigated for advanced control design, i.e., robust adaptive fuzzy control.

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“…These methods have shown to be more robust to large signals disturbances but their performances cannot be compared to the standard techniques. More complicated techniques have then been used in order to achieve better performances using Hammerstein models ( [28,29]) or time optimal control ( [30,31]). It is however worth noticing that these techniques need a very precise knowledge of the model which is difficult since the model is usually an average model (this model does not take into account all the uncertainties on the components).…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear State Feedback for DC/DC Boost Converters

Gehan

Pigeon

Ménard

et al. 2016

Journal of Dynamic Systems, Measurement, and Control

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This paper investigates the control problem for static boost type converters using an high gain state feedback robust controller incorporating an integral action. The robust feature allows to achieve the required performance in presence of parametric uncertainties, while the integral action provides an offset free performance with respect to the desired levels of voltage. The adopted high gain approach is motivated by both fundamental as well as practical considerations, namely the underlying fundamental potential and the design parameter specification simplicity. The stability and convergence analysis has been carried out using an adequate Lyapunov approach, and the control system calibration is achieved throughout a few design parameters which are closely related to the desired dynamical performances. The effectiveness of the proposed control approach has been corroborated by numerical simulations and probing experimental results. IntroductionThe control of static converters has been the subject of an important research activity over the past decades. This interest is mainly due to the emergence of embedded electronics in everyday life, increasing thereby the need for more efficient converters. Indeed, this type of converter is used for many applications such as laptop computers [1], photo-voltaic [2], vehicular systems [3], fuel cell [4], etc. Furthermore in recent use of electrical devices, the control problem is not the only feature required from the user. There are more and more need of informations on the evolution/aging of the system. In the case of converters, these informations can be obtained by reconstructing voltages and currents thanks to suitable observers.

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Nonlinear Modeling of DC/DC Converters Using the Hammerstein's Approach

Cited by 70 publications

References 26 publications

Data-Driven Modeling of a Commercial Photovoltaic Microinverter

Data-Driven Modeling of a Commercial Photovoltaic Microinverter

Robust Adaptive Fuzzy Control for a Class of Switching Power Converters

A Nonlinear State Feedback for DC/DC Boost Converters

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