Current-Limiting DC/DC Power Converters

Konstantopoulos, George C.; Zhong, Qing-Chang

doi:10.1109/tcst.2017.2787106

Cited by 26 publications

(30 citation statements)

References 27 publications

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“…The main advantage of the proposed current limiter is that it is implemented in the conventional control system of DC microgrids unlike the current limiter presented in 16 where a new control system was developed.…”

Section: Discussionmentioning

confidence: 99%

Smooth reference modulation based protection of fault current limiting DC/DC converters

Noroozi

Sadeghkhani

2020

Measurement and Control

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Low voltage DC microgrids have been gaining great attention for the integration of renewable energy source and energy storage units, and electronic loads. DC microgrids are commonly controlled using the hierarchical control strategy (HCS) to provide flexible operation in both grid-connected and islanded modes. The HCS relies on proportional-integral (PI) controllers and employs the droop control strategy. To improve the fault ride-through of HCS based extra low voltage DC microgrids, this paper proposes a simple, accurate, and cost-effective current limiting strategy. The proposed control system based scheme modulates the current reference of the primary control level of HCS during an overcurrent condition using the smooth set point automatic adjustment with correction enabled technique. It properly protects the semiconductor switches of interface voltage-sourced DC-DC converters by accurate limiting their inductor currents. The main advantage of the proposed scheme is that it is implemented in the available PI controller based primary control level of the HCS. Also, it does not require the converter and load data. Several case studies performed in MATLAB/Simulink environment are presented to demonstrate the superior ability of this scheme for limiting fault current in different scenarios compared to conventional current limiters.

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Section: Discussionmentioning

confidence: 99%

Smooth reference modulation based protection of fault current limiting DC/DC converters

Noroozi

Sadeghkhani

2020

Measurement and Control

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“…Consider the dynamic equations of the dc/dc boost converter connected to a resistive load R , given as in Konstantopoulos and Zhong:

\begin{matrix} alignleft \\ align-1 L \frac{d i}{d t} & align-2 = - r i - (1 - u) v + V_{i n} \end{matrix}

\begin{matrix} alignleft \\ align-1 C \frac{d v}{d t} & align-2 = (1 - u) i - \frac{v}{R}, \end{matrix}

where V in >0 is the dc input voltage, L is the converter inductance with a series resistance r , C is the converter capacitance,

\overset{x}{true} = false(i, v false)

is the state vector, and u is the control input describing the duty‐ratio input of the converter. The dc/dc converter can achieve a higher dc voltage v at its output compared to the input voltage V in .…”

Section: Engineering Examplesmentioning

confidence: 99%

State‐limiting PID controller for a class of nonlinear systems with constant uncertainties

Konstantopoulos

Baldivieso‐Monasterios

2019

Intl J Robust & Nonlinear

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Summary Proportional Integral Derivative (PID) controllers still represent the core control method for achieving output regulation of either linear or nonlinear systems in the majority of industrial applications. However, conventional PID control cannot guarantee specific state constraint requirements for the plant, when the system introduces uncertainties. In this paper, a novel nonlinear PID control that achieves output regulation and guarantees a desired state limitation below a given value for a wide class of nonlinear systems with constant uncertainties is proposed. Using nonlinear ultimate boundedness theory, it is shown that the proposed state‐limiting PID (sl‐PID) control maintains a given bound for the desired system states at all times, ie, even during transients, whereas an analytic method for selecting the controller gains is also presented to ensure closed‐loop system stability and convergence at the desired equilibrium. Two nonlinear engineering examples that include an electric motor and a dc/dc converter are investigated using the conventional PID and the proposed sl‐PID to validate the superiority of the proposed controller in achieving the desired output regulation with a given bounded state requirement.

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“…, the nonlinear dynamics of (20)- (21) should be further investigated. In particular, for each i, (20)-(21) describe a second-order system.…”

Section: N the Jacobian Matrix Of System (20)-(21) Is Calculated Asmentioning

confidence: 99%

Nonlinear PI controller for systems with state constraint requirements

Konstantopoulos

Baldivieso‐Monasterios

2019

2019 18th European Control Conference (ECC)

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PI control is widely applied in industrial applications to guarantee a desired regulation for both linear and nonlinear systems. However, when a state constraint requirement is needed for the plant, conventional PI controllers fail to guarantee a desired upper bound for the system states of a generic nonlinear plant at all times. In this paper, a novel nonlinear PI controller is proposed to achieve regulation with state constraint satisfaction for a class of nonlinear systems with constant disturbances. An upper bound for the desired closed-loop system states is guaranteed based on nonlinear ultimate boundedness theory and closed-loop stability is analytically proven for the desired equilibrium point. In addition, a detailed analysis is presented for the appropriate design of the proportional and integral gains of the proposed controller. A practical example of a dc/dc power converter is investigated and simulation results demonstrate the effectiveness of the proposed nonlinear PI control compared to the conventional approach.

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Current-Limiting DC/DC Power Converters

Cited by 26 publications

References 27 publications

Smooth reference modulation based protection of fault current limiting DC/DC converters

Smooth reference modulation based protection of fault current limiting DC/DC converters

State‐limiting PID controller for a class of nonlinear systems with constant uncertainties

Nonlinear PI controller for systems with state constraint requirements

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