Adaptive Feedforward Compensation for Voltage Source Disturbance Rejection in DC–DC Converters

Bao, Yan; Wang, Le Yi; Wang, Caisheng; Jiang, Jiuchun; Jiang, Chenguang; Duan, Chang‐Kui

doi:10.1109/tcst.2017.2661829

Cited by 37 publications

(17 citation statements)

References 22 publications

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“…The mathematical small‐signal transfer function with given parameters is calculated as follows:

G_{vd} ()(, normals) = \frac{0.002352 s + 34.56}{3.122 \times 10^{- 7} {normals}^{2} + 0.0003817 s + 1.523} .

For digital implementation, continuous‐time function (3) can be discretised using the zero‐order hold discretisation method. Considering a smaller sampling time may cause oscillation and instability in the electronic systems, the sampling frequency selected for proposed controllers is

f_{normals} = 10 kHz

[5, 37] and controller updating period is decided as

T_{normals} = 0.1 ms

. The discrete‐time transfer function from the control input to the output is transformed as follows:

G_{vd} ()(, z) = \frac{1.233 z - 0.1951}{z^{2} - 1.839 z + 0.8849} .

…”

Section: Control Methodsmentioning

confidence: 99%

“…Considering a smaller sampling time may cause oscillation and instability in the electronic systems, the sampling frequency selected for proposed controllers is f s = 10 kHz [5,37] and controller updating period is decided as T s = 0.1 ms. The discrete- time transfer function from the control input to the output is transformed as follows:…”

Section: System Modellingmentioning

confidence: 99%

See 1 more Smart Citation

Equivalent input disturbance observer‐based ripple‐free deadbeat control for voltage regulation of a DC–DC buck converter

Yuan

Kim

2019

IET Power Electronics

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In this research, voltage regulation of a DC-DC buck converter is realised via the ripple-free deadbeat control (RFDBC) with the equivalent input disturbance observer (EIDO). A small-signal state-space model is constructed for the RFDBC design of a converter. Faced with mismatched models, unknown parameter perturbation, and time-varying voltage source and load demands, augmented disturbance state is constructed and extended state observer is utilised to estimate this augmented model accurately. Based on this model, EIDO is proposed to evaluate the equivalent input disturbance affecting on the input channel. Disturbance compensation is analysed in theory, and the simulation model of the proposed EIDO-based RFDBC is created to illustrate the control performance in MATLAB/Simulink. Finally, a LabVIEW-based FPGA experimental rig is set up for the voltage regulation of a DC-DC buck converter. Two other controllers, RFDBC without EIDO and active disturbance rejection control are also designed for performance comparison. The performance comparison result of transient tracking indicates the outstanding characteristics of the proposed controller.

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“…The mathematical small‐signal transfer function with given parameters is calculated as follows:

G_{vd} ()(, normals) = \frac{0.002352 s + 34.56}{3.122 \times 10^{- 7} {normals}^{2} + 0.0003817 s + 1.523} .

f_{normals} = 10 kHz

[5, 37] and controller updating period is decided as

T_{normals} = 0.1 ms

. The discrete‐time transfer function from the control input to the output is transformed as follows:

G_{vd} ()(, z) = \frac{1.233 z - 0.1951}{z^{2} - 1.839 z + 0.8849} .

…”

Section: Control Methodsmentioning

confidence: 99%

Section: System Modellingmentioning

confidence: 99%

Equivalent input disturbance observer‐based ripple‐free deadbeat control for voltage regulation of a DC–DC buck converter

Yuan

Kim

2019

IET Power Electronics

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show abstract

“…Furthermore, the input feed-forward technique can effectively and rapidly reduce the effects of energy-harvesting source output disturbance on the converter output. For the design of the voltage-mode switching converters, the line transient response can be improved by the input feed-forward technique [25][26][27][28]. This paper presents an input feedforward technique to improve the dynamic performance of the output of the converter, thereby suppressing the effect of the supply voltage fluctuation on the output voltage.…”

Section: Introductionmentioning

confidence: 99%

10 MHz boost converter with subthreshold voltage startup and predictive dead‐time techniques for energy‐harvesting systems

Huang

Liao

Liu

2020

IET Power Electronics

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A 10 MHz synchronous boost converter with the subthreshold startup scheme and predictive dead-time control for energy-harvesting systems is presented in this study. The input feed-forward technique is adopted to achieve a fast line response, and a three-stage startup technique is proposed to realise subthreshold voltage startup without using any extra startup circuits or special devices. Moreover, the efficiency of the high-frequency converter can be improved by the proposed predictive dead-time control with a high resolution of ∼300 ps. The proposed converter is implemented in a standard 0.18 μm complimentary metal oxide semiconductor process and occupies a die area of 1.4 × 1.5 mm 2. Experimental results show that the input voltage ranges from 0.3 to 1.5 V at 1.8 V output, and the minimum startup voltage is 0.3 V. Under V IN = 1.5 V, V OUT = 1.8 V and 150 mA load, the power efficiency can be improved by 2.6% because of the proposed predictive dead-time control. The peak efficiency can reach 90.7% under V IN = 1.5 V. The line transient response can be improved with small overshoot voltage at the output.

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“…In order to increase the antijamming performance of DC/DC converter, many scholars have introduced the method of feedforward control into the traditional double closed-loop control [18][19][20][21], of which the reference value of current inner ring is able to quickly track the external disturbance to upgrade the dynamic response performance of the system. The feedforward can be divided into current feedforward and power feedforward [22] according to the different feedforward variables.…”

Section: Introductionmentioning

confidence: 99%

The Research on Bus Voltage Stabilization Control of Off‐Grid Photovoltaic DC Microgrid under Impact Load

Zhang

et al. 2019

Mathematical Problems in Engineering

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The solar power generation includes certain randomness and volatility, coupled with dynamic load involved in power fluctuations, which renders microgrid having certain unplanned instantaneous power during the process of real-time operation, so as to affect the stability of DC bus voltage. This paper, through constructing a model of off-grid photovoltaic DC microgrid under impact load characteristics, aiming at the fluctuate problems of the DC bus voltage caused by impact load, puts forward a fast response of hybrid energy-storing system composed of supercapacitors and batteries and superiors peak regulation capability to shave the peak and fill the valley of the microgrid. The researches on the strategy of double closed-loop voltage stabilization of blended energy storage system are made and the shortcomings of the double closed-loop voltage control of voltage and electricity are analyzed. And based on this, the tactics of new and double closed-loop voltage control of inner ring of power and the energy outer ring of DC bus capacitance are put forward and examined by simulation and experiment. The experiments prove that this method can more effectively suppress the influence of the fluctuations of impact load power on the DC bus voltage and further improves the system’s stability.

show abstract

Adaptive Feedforward Compensation for Voltage Source Disturbance Rejection in DC–DC Converters

Cited by 37 publications

References 22 publications

Equivalent input disturbance observer‐based ripple‐free deadbeat control for voltage regulation of a DC–DC buck converter

Equivalent input disturbance observer‐based ripple‐free deadbeat control for voltage regulation of a DC–DC buck converter

10 MHz boost converter with subthreshold voltage startup and predictive dead‐time techniques for energy‐harvesting systems

The Research on Bus Voltage Stabilization Control of Off‐Grid Photovoltaic DC Microgrid under Impact Load

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