Adaptive and Nonlinear Control Techniques Applied to SEPIC Converter in DC-DC, PFC, CCM and DCM Modes Using HIL Simulation

Rosa, Arthur H. R.; Souza, Thiago M. de; Morais, Lenin Martins Ferreira; Seleme, Seleme I.

doi:10.3390/en11030602

Cited by 20 publications

(13 citation statements)

References 25 publications

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“…For more details, refer to [42]. In Figure A2 is sketched the output voltage x 2 in view of load change and nonlinear controllers IDAPBC-BB and CIDAPBC-BB.…”

Section: Appendicesmentioning

confidence: 99%

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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“…For more details, refer to [42]. In Figure A2 is sketched the output voltage x 2 in view of load change and nonlinear controllers IDAPBC-BB and CIDAPBC-BB.…”

Section: Appendicesmentioning

confidence: 99%

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

et al. 2018

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“…Thereby, it is possible to verify the performance of the control strategy in equalizing the voltages of the SST HVDC buses and promoting power sharing. Besides the independence of the physical prototype, the methodology in question has other advantages [23,33]:…”

Section: Hardware In the Loop Simulationmentioning

confidence: 99%

“…In addition, there is an inherent safety problem in dealing with such systems. In this way, the use of real-time simulation of converter models and control strategies assists in validating the results without the need for physical assembly of the converters, thus reducing the project development time and the inherent problems of the prototypes' physical assembly [23][24][25]. Therefore, in this work, high level programming with MATLAB/DSP (R2017a, The MathWorks, Inc, Natick, MA, USA) integration and Hardware In the Loop (HIL) simulation is used to implement the Modular Cascaded Solid State Transformer.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, it is verified if the hardware is able to perform all its tasks in a predetermined time loop and synchronized with the rest of the system. This methodology has already been validated in 2nd order [30,35] and in 4th order [23] converters, which have simple implementation topologies. The great challenge of this work is to extend this approach to a more complex case study, which was only possible with the evolution of the current embedded systems.…”

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confidence: 99%

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Voltage and Power Balance Strategy without Communication for a Modular Solid State Transformer Based on Adaptive Droop Control

et al. 2018

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Solid State Transformers (SST) are attracting considerable attention due to their great application potential in future smart grids. It is an essential technology capable of promoting the modernization of the electric power distribution system and it is considered a key element for interfacing future microgrid systems to medium voltage utility grids, allowing plug-and-play integration with multiple renewable energy sources, storage devices and DC power systems. Its main advantages in relation to conventional transformers are substantial reduction of volume and weight, fault isolation capability, voltage regulation, harmonic filtering, reactive power compensation and power factor correction. A three-stage modular cascaded topology has been considered as an adequate candidate for the SST implementation, consisting of multiple power modules with input series and output parallel connection. The modular structure presents many advantages, e.g., redundancy, flexibility, lower current harmonic content and voltage stress on the power switches, however component tolerances and mismatches between modules can lead to DC link voltage imbalance and unequal power sharing that can damage the solid state transformer. This paper proposes a decentralized strategy based on adaptive droop control capable of promoting voltage and power balance among modules of a modular cascaded SST, without relying on a communication network. The behavior of the proposed strategy is assessed through a MATLAB/Simulink simulation model of an 100 kVA SST and shows that power and voltage balance are attained through inner power distribution of the SST modules, being transparent to elements connected to the transformer input and output ports. Besides that, real-time simulation results are presented to validate the proposed control strategies. The performance of embedded algorithms is evaluated by the implementation of the SST in a real-time simulation hardware, using a Digital Signal Processor (DSP) and high level programming.

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“…To date, multiple large-signal modeling methods have been formulated [11][12][13][14]. Large-signal models of DC/DC converters are often nonlinear, and system analysis and synthesis require nonlinear control theory such as feedback linearization, Lyapunov control, sliding-mode control, passivity-based control, and optimal control [15][16][17][18][19][20][21][22][23][24]. Analysis and design of a control system using nonlinear theory involve a relatively constrained mathematical basis and complex mathematical transformations often lead to unclear physical meaning.…”

Section: Introductionmentioning

confidence: 99%

Inverse-System Decoupling Control of DC/DC Converters

Zhu

Huang

et al. 2019

Energies

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Existing large-signal control schemes for DC/DC converters formulate control strategies based primarily on nonlinear control theory, and the associated design and implementation are relatively complex. In this work, a decomposition modeling and inverse-system decoupling control method is proposed for DC/DC converters that operate under large-signal disturbances. First, a large-signal circuit-averaged model for DC/DC converters is established. The proposed control system has a double closed-loop control structure composed of a voltage loop and a current loop. Then, the voltage-loop and current-loop controlled subsystems are decoupled and compensated to first-order integral elements using the inverse system method. Several linear feedback controllers are designed for first-order integral systems under various optimization criteria using the optimal control theory. Simulation and experiment were performed on buck–boost converters with resistive and constant power loads. The results show that under the control of the proposed controller, all systems exhibited excellent dynamic and steady-state performance. The proposed method allows the disturbance control of the DC/DC converter, the dynamic behavior control of the voltage loop, and the current loop to become independent processes. The local controller design follows the classical linear control design method and is a simple and effective large-signal control strategy.

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Adaptive and Nonlinear Control Techniques Applied to SEPIC Converter in DC-DC, PFC, CCM and DCM Modes Using HIL Simulation

Cited by 20 publications

References 25 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

Voltage and Power Balance Strategy without Communication for a Modular Solid State Transformer Based on Adaptive Droop Control

Inverse-System Decoupling Control of DC/DC Converters

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