Sliding Mode Controller in a Multiloop Framework for a Grid-Connected VSI With LCL Filter

Vieira, Rodrigo Padilha; Martins, Leandro Tomé; Massing, Jorge Rodrigo; Stefanello, Márcio

doi:10.1109/tie.2017.2772143

Cited by 77 publications

(39 citation statements)

References 30 publications

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“…T s is the sampling period. The zeroorder hold is described in (10). Considering a T s computation and sampling delay, the total delay is derived in (11).…”

Section: Discrete Smc Controllermentioning

confidence: 99%

“…Several control strategies have been proposed to achieve good performance for LCL filter grid-connected system, such as proportional-integral (PI) controller [5,6], proportional resonant (PR) controller [7], sliding mode control (SMC) [8][9][10][11][12][13][14], deadbeat control [15], repetitive control [16], etc. As a linear control, a Correspondence to: Min Huang.…”

Section: Introductionmentioning

confidence: 99%

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Model‐Based Discrete Sliding Mode Control with Disturbance Observer for Three‐Phase LCL‐Filtered Grid‐Connected Inverters

Huang

et al. 2020

IEEJ Transactions Elec Engng

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Grid‐connected voltage source inverters with LCL filters have been widely used for distributed generation systems in renewable energy systems. The presence of LCL resonance influences the overall performance and complicates the system control design, especially when the uncertainties caused by the component parameter variations and disturbances are considered. In order to improve the system performance under uncertain conditions, this paper presented a model‐based discrete sliding mode control (SMC) with disturbance observer (DOB) for three‐phase LCL‐filtered grid‐connected inverters. In this work, the inverter model is modified by using a virtual damping resistor to eliminate the resonance of the LCL filter and improve the stability, even consider the variations of the grid impedance. To save the sensors and predict the forward step of the state variables, a discrete state observer is adopted in the control. To enhance the robustness of the system, a DOB is designed in the SMC controller to estimate the disturbances so that the system uncertainties can be effectively compensated. Finally, comparative simulations and experiments are constructed to demonstrate the effectiveness of the proposed method. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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“…T s is the sampling period. The zeroorder hold is described in (10). Considering a T s computation and sampling delay, the total delay is derived in (11).…”

Section: Discrete Smc Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model‐Based Discrete Sliding Mode Control with Disturbance Observer for Three‐Phase LCL‐Filtered Grid‐Connected Inverters

Huang

et al. 2020

IEEJ Transactions Elec Engng

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“…Even though the passive damping is simple, the extra loss through heat dissipation is unavoidable [7]. On the other hand, since the active damping method can be realized without extra loss, this scheme has been widely adopted to stabilize the inverter system at the expense of increased computational burden and additional sensing devices [8][9][10]. Particularly, the research work in [9] uses the capacitor current feedback to realize the virtual-resistor-based active damping concept.…”

Section: Of 27mentioning

confidence: 99%

“…Particularly, the research work in [9] uses the capacitor current feedback to realize the virtual-resistor-based active damping concept. The current controller is modified by including the feedback of filter capacitor voltages to achieve the resonance damping in other approaches that were introduced in [8,10]. Obviously, both of these methods require extra sensors.…”

Section: Of 27mentioning

confidence: 99%

Frequency Adaptive Current Control Scheme for Grid-connected Inverter without Grid Voltage Sensors Based on Gradient Steepest Descent Method

Tran

Kim

2019

Energies

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This paper presents a frequency adaptive grid voltage sensorless control scheme of a grid-connected inductive–capacitive–inductive (LCL)-filtered inverter, which is based on an adaptive current controller and a grid voltage observer. The frequency adaptive current controller is constructed by a full-state feedback regulator with the augmentation of multiple control terms to restrain not only the inherent resonance phenomenon that is caused by LCL filter, but also current harmonic distortions from an adverse grid environment. The number of required sensing devices is minimized in the proposed scheme by means of a discrete-time current-type observer, which estimates the system state variables, and gradient-method-based observers, which estimate the grid voltages and frequency simultaneously at different grid conditions. The estimated grid frequency is utilized in the current control loop to provide high-quality grid-injected currents, even under harmonic distortions and the frequency variation of grid voltages. As a result, the grid frequency adaptive control performance as well as the robustness against distorted grid voltages can be realized. Finally, an inverter synchronization task without using grid voltage sensors is accomplished by a fundamental grid voltage filter and a phase-locked loop to detect the actual grid phase angle. The stability and convergence performance of the proposed observers have been studied by means of the Lyapunov theory to ensure a high accuracy tracking performance of estimated variables. Simulation and experimental results are presented to validate the feasibility and the effectiveness of the proposed control approach.

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“…Grid-tied inverters have been widely utilized in distributed generation systems, since they are the interfaces between DC sources and power grids [1,2]. In regards to the control of grid-tied inverters, besides the classical linear control schemes [3,4], a large number of nonlinear control strategies, such as model predictive control (including continuous control set model predictive control (CCS-MPC) and finite control set model predictive control (FCS-MPC)), sliding mode control, passivity-based control [5][6][7], and so on, were proposed. Among them, the FCS-MPC attracted significant attentions in recent years, owing to the technique advantages, including no need of the modulator, straightforward handling of nonlinearities and constraints, quick dynamic responses, and simple implementation [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage

Chen

Gao

et al. 2019

Energies

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This paper proposes a novel finite control set model predictive control (FCS-MPC) strategy with merely grid-injected current sensors for an inductance-capacitance-inductance (LCL)-filtered grid-tied inverter, which can obtain a sinusoidal grid-injected current whether three-phase grid voltages are balanced or not. Compared with the conventional FCS-MPC method, four compositions are added in the proposed FCS-MPC algorithm, where the grid voltage observer (GVO) and Luenberger observer are combined together to achieve full status estimations (including grid voltage, capacitor voltage, inverter-side current, and grid-injected current), while the sequence extractor and the reference generator are applied to eliminate the double frequency ripples of the active or reactive power, or the negative sequence component (NSC) of the grid-injected current caused by the unbalanced grid voltage. Simulation model and experimental platform are established to verify the effectiveness of the proposed FCS-MPC strategy, with full status estimations under both balanced and unbalanced grid voltage conditions. However, these control schemes are usually designed under the ideal grid voltage condition, and the negative effects caused by the negative sequence component (NSC) are not considered. Therefore, under the unbalanced grid voltage condition, the feasibilities of current sensorless control schemes need be further verified [17].To alleviate the adverse effects of the unbalanced grid voltage, the positive sequence component (PSC) and the NSC of the grid voltages are required to be separated first, and then applied in the control algorithm [18][19][20][21]. In [18], for the distributed generation inverter, a flexible reference generator based on positive and negative active and reactive powers, was proposed to keep feeding the grid and support the grid voltage under the unbalanced grid voltage condition. In [19], to overcome the distortion of grid-injected currents caused by the unbalanced grid voltages, Zheng et al. proposed an improved virtual synchronous generator control method with the additional positive-sequence current adjuster, allowing the reference currents to track the positive sequence currents and inhibiting the negative-sequence components. In [20], Suul et al. proposed a virtual-flux-based method for the voltage-sensorless grid synchronization under variable grid frequency and unbalanced voltage conditions, integrating the functions of frequency-adaptive bandpass filtering, the virtual flux estimation, and the sequence separation into one operation. In [21], Yang et al. proposed a sliding-mode grid voltage observer for the voltage-sensorless operation under an unbalanced network, separating the PSC and NSC inherently. The variables of methods proposed in [18,19] are all based on the full state measurements, while only one kind of sensor is reduced in [20,21]. Note that it is of great challenge for the LCL-filtered grid-tied inverter to further reduce the number of sensors, especially under the unbalanced grid voltage con...

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Sliding Mode Controller in a Multiloop Framework for a Grid-Connected VSI With LCL Filter

Cited by 77 publications

References 30 publications

Model‐Based Discrete Sliding Mode Control with Disturbance Observer for Three‐Phase LCL‐Filtered Grid‐Connected Inverters

Model‐Based Discrete Sliding Mode Control with Disturbance Observer for Three‐Phase LCL‐Filtered Grid‐Connected Inverters

Frequency Adaptive Current Control Scheme for Grid-connected Inverter without Grid Voltage Sensors Based on Gradient Steepest Descent Method

Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage

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