Extended-State-Observer Based Model Predictive Control of a Hybrid Modular DC Transformer

Zhang, Hang; Li, Yaohua; Li, Zixin; Zhao, Cong; Gao, Fanqiang; Xu, Fei; Wang, Ping

doi:10.1109/tie.2021.3059548

Cited by 18 publications

(19 citation statements)

References 34 publications

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“…Since all three methods use the same CSO approach, the current stress values are similar. The observed load currents i2eso in method [31] and the proposed method are entirely consistent with the values measured by the sensor i2sens. However, as seen in the zoomed-in figures, the proposed method has shorter observer settling times.…”

Section: Simulation and Experimental Resultssupporting

confidence: 81%

“…In this section, the simulation and experimental results of the proposed method are compared with those of the conventional CSO-DPS method (conventional method) and the method presented in [31] (method [31]). The control parameters of the conventional method and the observer gain in the method [31] were optimized in order to make fair comparisons. Fig.…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

“…According to (14), it can be seen that the observed load current is not dependent on model parameters. A notable distinction from the method presented in [31] is that the output capacitor impacts observer performance, but it is not investigated carefully. Without a doubt, the proposed method is straightforward because it only requires two voltage sensors and does not rely on any additional PI controller for compensation.…”

Section: The Proposed Sensor-reduction Controlmentioning

confidence: 99%

“…In ESO, the smallest quantity of model information is required in order to suppress disturbance and provide an accurate observed value. According to [31], the first-order ESO is used to control the output voltage of the DAB converter under extended-phaseshift (EPS) modulation. Nevertheless, it involves a PI controller for compensation, and the observer performance is determined by how accurate the output capacitor is.…”

Section: Introductionmentioning

confidence: 99%

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Sensor-Reduction Control for Dual Active Bridge Converter Under Dual-Phase-Shift Modulation

Duong

Choi

2022

IEEE Access

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This paper proposes a sensor-reduction control in order to control the output voltage of the dual active bridge (DAB) converter under dual-phase-shift (DPS) modulation. The deadbeat control-based Lagrange multiplier method (LMM) is adopted to achieve current stress optimization (CSO). A first-order extended state observer (ESO) is established to observe the load current based on the basis of the dynamic equation of the output capacitor. Compared to the existing ESO for the DAB converter, the proposed observer is able to reject disturbances even when output capacitor mismatches occur, resulting in better observer performance. Besides, the proposed method exhibits good steady-state performance without using any compensating controller. Consequently, the proposed method enables current sensorless control and significantly decreases the number of control parameters, resulting in increased simplicity and cost-saving. The simulation and experimental results obtained with a 300 W prototype demonstrate that the proposed method outperforms the existing methods under changing load current and input voltage conditions.INDEX TERMS Dual active bridge, current sensorless, dual-phase-shift, extended state observer, parameter mismatch.

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Section: Simulation and Experimental Resultssupporting

confidence: 81%

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

Section: The Proposed Sensor-reduction Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sensor-Reduction Control for Dual Active Bridge Converter Under Dual-Phase-Shift Modulation

Duong

Choi

2022

IEEE Access

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“…ADRC can estimate and compensate the total disturbance effect of various external disturbances and internal disturbances determined by the system's own mechanism during operation in real time. The advantages of ADRC include fast corresponding speed, high control precision and a strong disturbance rejection ability [21]. In recent years, ADRC has also been applied in structural vibration control [22,23].…”

Section: Introductionmentioning

confidence: 99%

Vibration Control of Disturbed All-Clamped Plate with an Inertial Actuator Based on Cascade Active Disturbance Rejection Control

Zhang

et al. 2022

Machines

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In this paper, active disturbance rejection control (ADRC) is applied to the vibration control of the all-clamped plate structure with an inertial actuator. Knowing that modeling uncertainties, dynamic nonlinearities and multivariable couplings are often the major causes of a downgrading performance and instability, a cascade ADRC controller is, hence, utilized to mitigate the effects of these issues. The dynamics regarding the all-clamped plate structure and inertial actuator are obtained through theoretical analysis and experimental testing. Furthermore, the real-time control experimental verification is carried out on the hardware-in-the-loop platform based on the NI PCIe-6343 data acquisition card. The comparative experimental results show that the proposed cascade ADRC controller has a better vibration suppression performance, disturbance rejection performance and decoupling ability.

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Active disturbance rejection control of pressurized water reactor

Ahmad

Abdulraheem

Tolokonsky

et al. 2023

Annals of Nuclear Energy

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Extended-State-Observer Based Model Predictive Control of a Hybrid Modular DC Transformer

Cited by 18 publications

References 34 publications

Sensor-Reduction Control for Dual Active Bridge Converter Under Dual-Phase-Shift Modulation

Sensor-Reduction Control for Dual Active Bridge Converter Under Dual-Phase-Shift Modulation

Vibration Control of Disturbed All-Clamped Plate with an Inertial Actuator Based on Cascade Active Disturbance Rejection Control

Active disturbance rejection control of pressurized water reactor

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