Variable Structure ADRC-Based Control for Load-Side Buck Interface Converter: Formation, Analysis, and Verification

Long, Taotao; Wang, Ping; Wang, Yifeng; Ma, Xiaoyong; Cheng, Pengyu; Zhao, Dixian

doi:10.1109/tie.2021.3091915

Cited by 19 publications

(1 citation statement)

References 24 publications

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“…ADRC could actively tracks and extracts disturbance information before the disturbance significantly affecting the system output and then quickly eliminates the disturbance with a control signal [6]. Besides, ADRC shows robustness to nonlinear systems and strong immunity to disturbances; therefore, it has gained wide attention in microgrid interface converter control [7]. However, the low-order ESO in conventional ADRC ignores the deviation of the higherorder part and nonlinear part of the controlled object from the first-order output.…”

Section: Introductionmentioning

confidence: 99%

Active disturbance rejection control of photovoltaic microgrids based on disturbance compensation and feed-forward correction strategy

Meng,

Xu,

Wang

2023

J. Phys.: Conf. Ser.

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Photovoltaic microgrid (PV) is a promising direction of new energy generation technology. However, due to the performance of low-voltage side interface affected by complex disturbance, PV microgrid has the problem of output voltage fluctuation, which will make the power quality not guaranteed. In order to stabilize the low-voltage side load supply, the active disturbance rejection control strategy with disturbance compensation and feed-forward correction (ADRC-DCFC) is proposed. By expanding the conventional state observer (ESO) dimension, a feed-forward correction link for disturbance tracking compensation is added. In contrast, the internal deviations extracted from the system model are actively added to the disturbance compensation link. In addition, a theoretical analysis of its disturbance observation performance and noise suppression performance is presented. Experimental results on a 300-watt test platform verified the accuracy and effectiveness of the ADRC-DCFC.

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Section: Introductionmentioning

confidence: 99%

Active disturbance rejection control of photovoltaic microgrids based on disturbance compensation and feed-forward correction strategy

Meng,

Xu,

Wang

2023

J. Phys.: Conf. Ser.

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Harmonic suppression of active disturbance rejection control for virtual synchronous generators

Lin,

Liu,

Wang

2024

Circuit Theory & Apps

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SummaryVirtual synchronous generators (VSGs) are comprised of an outer power loop and inner cascaded control loops. The dynamic performance of the output interface is severely degraded when microgrid loads exhibit variability and nonlinearity. Therefore, robustness against load disturbances must be possessed by any voltage control scheme. In this paper, a proportional resonance‐linear active disturbance rejection control (PR‐LADRC) scheme based on an improved linear extended state observer (ILESO) is proposed for VSG voltage control. In comparison with the traditional linear extended state observer (LESO), the differential state variable of the output voltage is utilized to increase the observation bandwidth; consequently, the proposed ILESO can effectively overcome the disadvantage of phase lag when tracking disturbances. Additionally, a proportional resonance controller is incorporated into the LESO feedforward channel to suppress voltage harmonics. The proposed scheme enhances the disturbance observation bandwidth compared to traditional strategies, resulting in a substantial improvement in both the disturbance observation capability of LADRC and the harmonic suppression ability of the VSG system. Theoretical analysis and simulations are conducted to validate the effectiveness of the proposed PR‐LADRC approach.

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Stabilizing Electric Vehicle Systems Using Proximal Policy-Based Self-structuring Control

Zhuang,

Wang,

Cheng

et al. 2024

Int.J Automot. Technol.

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An active disturbance rejection control (ADRC) has been developed for stabilizing electric vehicle (EV) systems without the need for model identification. The proximal policy optimization (PPO) algorithm, along with actor and critic neural networks, has been used to fine-tune the adjustable parameters of the ADRC controller to achieve optimal performance in a specific case study. The architecture of PPO implements separate neural networks and ameliorates the PPO adaptability to handle continuous action spaces. By maximizing a reward function based on system output, the PPO agent optimally tunes the gains to reduce undesired speed fluctuations of EVs and improve system stability. Performance evaluation under the new European driving cycle and federal test procedure has been conducted to examine the feasibility of the suggested controller. The disturbance rejection capability of the ADRC controller designed by the PPO algorithm has been tested and compared with prevalent control methodologies. Moreover, real-time examinations of the dynamic behavior of EV systems have been made to identify the capability of the suggested controller in real-world hardware. The results show that the suggested controller outperforms other designed controllers in terms of transient behavior and numerical performance metrics.

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Variable Structure ADRC-Based Control for Load-Side Buck Interface Converter: Formation, Analysis, and Verification

Cited by 19 publications

References 24 publications

Active disturbance rejection control of photovoltaic microgrids based on disturbance compensation and feed-forward correction strategy

Active disturbance rejection control of photovoltaic microgrids based on disturbance compensation and feed-forward correction strategy

Harmonic suppression of active disturbance rejection control for virtual synchronous generators

Stabilizing Electric Vehicle Systems Using Proximal Policy-Based Self-structuring Control

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