High Performance Decoupling Current Control by Linear Extended State Observer for Three-Phase Grid-Connected Inverter With an LCL Filter

Zhang, Hui; Xian, Jiaheng; Shi, Junwei; Wu, Shaonan; Ma, Zhixun

doi:10.1109/access.2020.2965650

Cited by 23 publications

(14 citation statements)

References 18 publications

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“…The Bode diagram of the transfer function Φ r (s) with different ω c has been studied in [19][20][21][22]25,26], so they are not mentioned in this paper. The Bode diagrams of the transfer function Φ d (s) and Φ n (s) are given in Figure 5, where ρ = 1 and ω c = 2000 rad/s.…”

Section: Influence Of Observer Bandwidth and Compensation Factormentioning

confidence: 99%

“…In terms of the gridconnected inverter current control, the Pade approximation is used to reduce the plant order, and a first-order LADRC is applied to deal with parameter variation and disturbances [19]. The coupling between the dq axis is regarded as a part of the total disturbance and is observed by LESO, so the inner current loop is decoupled in [20]. The derivative of the reference signal is added into LSEF, so the voltage steady-state error is reduced [21].…”

Section: Introductionmentioning

confidence: 99%

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Linear Active Disturbance Rejection Control Strategy with Known Disturbance Compensation for Voltage-Controlled Inverter

Dai

et al. 2021

Electronics

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When the linear active disturbance rejection control (LADRC) is applied for the voltage-controlled inverter, the discrete period and the measurement noise limits the observer bandwidth, which affects the anti-disturbance performance of the system. This results in a poor ability to deal with the output voltage fluctuation under the load switch. In this paper, a novel LADRC strategy based on the known disturbance compensation is proposed for the voltage-controlled inverters. Firstly, the original LADRC scheme is designed. The dynamic performance and robustness of the system are analyzed by a root locus diagram, and the anti-disturbance ability is studied through amplitude-frequency characteristics. Then the partial model information and the load current are treated as the known disturbance and introduced to the linear extended state observer (LESO) to improve observation accuracy. The difference in anti-disturbance performance with the original scheme is compared and the stability of the LESO and LADRC is analyzed. Finally, the effectiveness of the proposed scheme is verified by the simulation and experimental results.

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Section: Influence Of Observer Bandwidth and Compensation Factormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linear Active Disturbance Rejection Control Strategy with Known Disturbance Compensation for Voltage-Controlled Inverter

Dai

et al. 2021

Electronics

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“…In order to improve the performance of bus voltage control, scholars put forward sliding mode control [8], model predictive control [9,10], adaptive backstepping control [2,11], two-degree-of-freedom control [12], feedback linearization control [13,14], feedforward decoupling control [15,16], etc. ese methods have achieved good results, but they do not consider the external disturbance problem and rely on the mathematical model of the system.…”

Section: Introductionmentioning

confidence: 99%

Research on Photovoltaic Grid‐Connected Control Strategy Based on Active Disturbance Rejection of Adaptive Extended State Observer

Liu

Xue

et al. 2021

Advances in Civil Engineering

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In the photovoltaic inverter grid-connected power generation system, the output power of photovoltaic panels is affected by illumination and temperature. The change of output power of photovoltaic panels will lead to the fluctuation of DC bus voltage. If the control is improper, it will directly affect the regular operation of the system. In order to improve the performance of the grid-connected inverter system, an active disturbance rejection control method based on adaptive extended state observer (ESO) is proposed. Firstly, a feedforward PI current inner loop controller is designed, which simplifies the structure of the control system and improves the tracking performance of the current. Then, the DC bus voltage outer loop ADRC is designed, and a conversion method that ignores the essential difference between nonlinear/time-varying and time-varying/linear is proposed. Through the conversion of time-invariant nonlinear system and time-varying linear system, the stability of the extended state observer is proved by the Routh criterion. Secondly, to solve the problem of mutual restriction between the stability and observation accuracy of the extended state observer, an adaptive function online automatic tuning ESO parameter method is proposed. Finally, the simulation results show that the proposed method has better dynamic and static performance, and the grid-connected voltage and current harmonics are small, which proves the correctness and effectiveness of the proposed method.

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“…Nevertheless, the Kalman filter inverse matrix calculation may take more time in practice. Extended state observers are applied for the single and threephase LCL filters with only one grid-side current sensor (Bu¨yu¨k et al, 2016;Zhang et al, 2020b). Although excellent sensor reduction is done by this type of observer, the grid impedance variation effect is not discussed.…”

Section: Introductionmentioning

confidence: 99%

Observer-based neural network dynamic surface control of single-phase LCL-filtered grid-connected inverters under parametric uncertainties and weak grid condition

Shoja-Majidabad

Zirkohi²

2021

Transactions of the Institute of Measurement and Control

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This paper focuses on the current control of single-phase LCL-filtered grid-connected inverters in the presence of parametric uncertainties and weak grid condition. Therefore, a novel neural network dynamic surface control (NNDSC) method is proposed by overcoming the problem of ‘explosion of complexity’. In addition, radial basis function neural networks (RBFNNs) are employed to approximate the system parametric uncertainties. Furthermore, by considering practical considerations, a novel state observer (SO) is designed to estimate the inverter-side current and capacitor voltage. As a result, additional current and voltage sensors are not required, which makes the implementation of the proposed approach straightforward and reliable. The origin neighbourhood convergence of estimated and tracking errors is assured through Lyapunov stability theorem and Young’s inequality. The effectiveness and performance of the proposed NNDSC+SO approach is demonstrated through MATLAB/Simpower simulations in view of the reference current changes, LCL filter parametric uncertainties and weak grid condition.

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High Performance Decoupling Current Control by Linear Extended State Observer for Three-Phase Grid-Connected Inverter With an LCL Filter

Cited by 23 publications

References 18 publications

Linear Active Disturbance Rejection Control Strategy with Known Disturbance Compensation for Voltage-Controlled Inverter

Linear Active Disturbance Rejection Control Strategy with Known Disturbance Compensation for Voltage-Controlled Inverter

Research on Photovoltaic Grid‐Connected Control Strategy Based on Active Disturbance Rejection of Adaptive Extended State Observer

Observer-based neural network dynamic surface control of single-phase LCL-filtered grid-connected inverters under parametric uncertainties and weak grid condition

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