Modeling Uncertainties in DC-DC Converters with \MATLAB{} and \PLECS

Asadi, Farzin; Pongswatd, Sawai; Eguchi, Koichi; Trung, Ngo Lam

doi:10.2200/s00875ed1v01y201809eel006

Cited by 4 publications

(7 citation statements)

References 24 publications

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“…The first step toward accurate system design is to carefully consider most of the details that represent the real-time system. Mathematical modeling is the way to approximate the physical system dynamics [12]. The precise system outputs and results come when the differences, or the error between the mathematical modeling and the real physical system, are minimized.…”

Section: Dc-dc Buck-boost Dynamic System Designmentioning

confidence: 99%

Adaptive Model Predictive Control for DC-DC Power Converters With Parameters’ Uncertainties

Albira¹,

Zohdy

2021

IEEE Access

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This research investigates the Adaptive Model Predictive Controller (AMPC) and Linear Parameter-Varying (LPV) control system for a direct current (dc-dc) buck-boost converter, considering the parameters' uncertainty. The LPV model and the AMPC are explicitly constructed to perform a robust control design for the proposed dc-dc converter. The LPV model was created out of a set of linearized systems at different operating conditions to perform Linear Time-Invariant (LTI) models. Due to the dc-dc converter's nonlinear characteristic, the performed LTI models might have declination, which the AMPC can perfectly address by adapting the prediction model for the changes in the operating conditions. The proposed AMPC control system was implemented in a simulation environment as well as in a real-time environment on an Arduino Mega 2560 microcontroller to test its robustness and quality. The proposed AMPC control system works well compared with some existing control system algorithms at different prediction horizons. Also, the comparison considers the designed Gain Scheduling Proportional Integral (G.S-PI) and the regular Model Predictive (reg-MPC) Controllers were implemented without using the LPV model to test their performance against the proposed converter's parameters uncertainties.INDEX TERMS dc-dc buck-boost converter, MPC controller, AMPC controller, LPV model, uncertainty modeling, Quadratic Programming (QP), and Optimization. MOHAMED E. ALBIRA. (Student Member, IEEE) received the H.D degree in electrical and electronics engineering technology from Collage of Technical and Science, Misurata, Libya, in 2002, the M.S.

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Section: Dc-dc Buck-boost Dynamic System Designmentioning

confidence: 99%

Adaptive Model Predictive Control for DC-DC Power Converters With Parameters’ Uncertainties

Albira¹,

Zohdy

2021

IEEE Access

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“…In this paper, due to the space limit, we avoid developing all these operations. We adopted a MATLAB code from [1] and modified it to perform all the above SSA steps and generate useful transfer functions (TFs) for feedback control design. These TFs represent the duty ratioto-output (Gvd), the input voltage-to-output (Gvg) and the load current-to-output voltage (Gvo) expressed in ( 6), ( 7) and ( 8), respectively, given the parameters listed in Table I.…”

Section: A Modeling Of a Buck Convertermentioning

confidence: 99%

“…Owing to their high efficiency and small size, DC-DC power switching converters are used in a wide range of industrial applications [1]. Their popularity keeps growing in fields such as renewable energy systems (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Design and Analysis of Combined Input-Voltage Feedforward and PI Controllers for the Buck Converter

Amer

Abuelnasr

Ragab

et al. 2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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This paper presents the design and analysis of combining input-voltage feedforward and proportional-integral (PI) controllers to regulate the output voltage of DC-DC Buck converter subject to input line disturbances. Non-idealities of the Buck converter such as passive and active components parasitics are included in the mathematical model obtained by the statespace averaging (SSA) technique for accurate control. The stability boundary locus approach is used to graphically analyze the system stability. It guides the design of the PI controller gains and the feedforward scaling factor to achieve desired phase and gain margins. Analysis shows that the feedforward scaling factor affects the stability regions of the closed-loop system and can limit the possible PI controller gains for certain phase and gain margins; 75 o and 9.54 dB in our case. The results are verified by a Simulink model developed for the Buck converter system.

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“…Kharitonov's theorem establishes that every polynomial in families (8) and ( 9) is Hurwitz if and only if the four Kharitonov polynomials 10(10) are Hurwitz. is result has been the motivation of different extensions, alternate proofs, and applications to some classes of families of polynomials, for instance, (i) e problem to find conditions for family (8) [65,98,99] e appearance of Kharitonov's theorem led to a resurgence of interest in the study of robust stability under real parametric uncertainty. In Section 2.2, some results related to stability of certain families of polynomials such as the segments and the rays of polynomials were mentioned.…”

Section: 31mentioning

confidence: 99%

A Panoramic Sketch about the Robust Stability of Time-Delay Systems and Its Applications

et al. 2020

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This paper presents a brief review on the current applications and perspectives on the stability of complex dynamical systems, with an emphasis on three main classes of systems such as delay-free systems, time-delay systems, and systems with uncertainties in its parameters, which lead to some criteria with necessary and/or sufficient conditions to determine stability and/or stabilization in the domains of frequency and time. Besides, criteria on robust stability and stability of nonlinear time-delay systems are presented, including some numerical approaches.

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Modeling Uncertainties in DC-DC Converters with \MATLAB{} and \PLECS

Cited by 4 publications

References 24 publications

Adaptive Model Predictive Control for DC-DC Power Converters With Parameters’ Uncertainties

Adaptive Model Predictive Control for DC-DC Power Converters With Parameters’ Uncertainties

Design and Analysis of Combined Input-Voltage Feedforward and PI Controllers for the Buck Converter

A Panoramic Sketch about the Robust Stability of Time-Delay Systems and Its Applications

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