Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions

Aouani, Nedia; Olalla, Carlos

doi:10.3390/app10217534

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…Ref. [125] further improved the LMI-LQR controller of a boost converter by employing parameter-dependent Lyapunov functions in the control design, enhancing the robustness and improving the control performance, whilst obtaining less conservative design. For more accurate reference tracking, integral control is included in the LQR structure [118].…”

Section: Optimal Controlmentioning

confidence: 99%

Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids

Korompili

Monti

2023

Energies

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This paper provides an overview of modern feedback control methods for the voltage regulation in DC/DC converters of DC microgrids. Control objectives and practical restrictions are defined and used as indicators for the analysis and performance assessment of the control methods. After presenting the concept of each control method, the advantages and limitations in the converter applications are discussed. The main conclusions of this overview can be used as recommendations for the selection of the suitable control method according to the control requirements in the DC microgrid. The low robustness against disturbances is a major issue in all control methods. For the enhancement of the robustness of the feedback control methods, three approaches are reviewed. Applications of these approaches in DC/DC converters are compared with regard to the achieved disturbance rejection and the related cost of nominal performance degradation. The disturbance/uncertainty estimation and attenuation (DUEA) framework appears to be the most promising approach to compromising these opposing control objectives. This overview is presented for a general DC/DC converter, without any additional control design requirement imposed by a specific converter plant. This allows the generalisation of the conclusions of the performance assessment, which can facilitate the application of the control methods in similar systems, such as in AC/DC converters or motor drives.

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Section: Optimal Controlmentioning

confidence: 99%

Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids

Korompili

Monti

2023

Energies

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“…The approach is validated by means of simulation results for both converters, and experimental results are presented for the boost converter using a laboratory prototype of 60 W. For this work, it is worth highlighting that proposed control is entirely implemented using analogue electronics, i.e., passive components, operational amplifiers and multipliers. [2] a novel framework for application of robust linear quadratic regulator (LQR)-based control in DC-DC power converters. In the same vein of the previous work, the controller design is performed using Linear Matrix Inequalities (LMIs) and Lyapunov stability theory, leading to a control ensuring robust stability.…”

Section: Control Of Dc-dc Convertersmentioning

confidence: 99%

Special Issue “Advances in Control of Power Electronic Converters”

López-Santos

García

2021

Applied Sciences

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The use of power converters has grown in the last years with the advances in photovoltaic and wind based power generation systems, and the progress in modern concepts such as microgrids and electric mobility. A consequence has been the development of devices allowing for the exchange of energy among different distribution buses, and feeding AC or DC loads from low DC voltage levels, whose proper operation is achieved by means of specialized control systems. Simultaneously, the power converters used for conventional industrial applications have evolved thanks to the application of new control methods, and the combination of these with well-established techniques. This special issue contributes theoretical and practical advances to the state-of-the-art field at the crossroads of power electronics and control systems. The seven included papers cover particular applications requiring either DC–DC, DC–AC or AC–DC conversion stages.

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“…However, optimizing approaches are computationally complexes methods requiring a pre-knowledge of the load characteristic that leads to a challenging condition to apply them in real-time cases. Thus, ruled-based methods have been proposed for the LQR method such as Lyapunov concept or Fuzzy logic [32][33][34]. Meanwhile, rulebased control algorithms use membership function and fuzzy logic rule to justify the control method that expertise for selecting membership functions and acquires an extensive training data.…”

Section: Introductionmentioning

confidence: 99%

A novel adaptive neuro linear quadratic regulator (ANLQR) controller design on DC‐DC buck converter

Roosta

Ghamari

Mollaee

et al. 2023

IET Renewable Power Gen

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This paper proposes an Adaptive Neuro Linear Quadratic Regulator (ANLQR) controller for Buck converter operating under harmful disturbances. Considering the real‐time condition of a converter with regular variations, Neural Network is adopted to improve and tune the gain of the LQR strategy with an adaptive mechanism. This strategy assumes the system as a Gray‐box process without the need for the exact mathematical model of the system which can result in lower computational burden, faster dynamics, and ease of implementation. ANLQR control strategy is a suitable alternative considering its significant robustness against different disturbances, particularly noise. It should be mentioned that the number of neurons is limited to 2 and 4 in each layer to decrease the computational burden with lower complexity. The advantages of this ANLQR method is justified for various operating situations through experimental and simulation outcomes. Moreover, LQR and PSO‐PID controllers are designed and compared with the presented strategy to carry on a comparison with the proposed method. Furthermore, this approach provides better outcomes with faster dynamics and better frequency adaption in the real‐time environments.

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Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions

Cited by 7 publications

References 25 publications

Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids

Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids

Special Issue “Advances in Control of Power Electronic Converters”

A novel adaptive neuro linear quadratic regulator (ANLQR) controller design on DC‐DC buck converter

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