Simplified Nonlinear Voltage-Mode Control of PWM DC-DC Buck Converter

Al-Baidhani, Humam; Salvatierra, Thomas; Ordóñez, Raúl; Kazimierczuk, Marian K.

doi:10.1109/tec.2020.3007739

Cited by 26 publications

(22 citation statements)

References 35 publications

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“…Although the indirect SMC strategy with double integral sliding surface proposed by Tan et al 23 alleviates the steady‐state error in the output voltage, the sliding surface function involves additional states. A similar disadvantage exists in the model proposed by Al‐Baidhani et al 24 General design issues of the SMC strategy are discussed in Tan et al, 25 where a comprehensive literature review is presented. The time‐optimal‐based SMC strategy proposed by Jafarian et al 26 improves the output voltage regulation of the converter under disturbances.…”

Section: Introductionmentioning

confidence: 89%

“…Various nonlinear control strategies based on the switching surface control, 7 boundary control, 8 raster surface control, 9 time‐optimal control, 10,11 hysteresis current control, 12‐14 fuzzy logic control, 15 unified digital current control, 16 disturbance observer based control, 17 peak current mode control, 18 and sliding mode control (SMC) 19‐34 have been proposed for buck converters to achieve the aforesaid requirements. Among these nonlinear control strategies, the SMC strategy is widely preferred by many researchers because of its distinct features such as high robustness against parameter variations, guaranteed stability, fast dynamic response, and implementation simplicity.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the finite‐time convergence property of TSMC, selection of the sliding coefficient is either based on the adaptive computation of load resistance 31 or by trial and error 32 . Generally, in the existing SMC 20‐30 and TSMC strategies, 31‐34 the selection of sliding coefficient is based on trial and error without taking into consideration the existence region (ER) of the sliding mode.…”

Section: Introductionmentioning

confidence: 99%

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Sliding mode control strategy with maximized existence region for DC–DC buck converters

Kömürcügil

2020

Int Trans Electr Energ Syst

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Summary In this article, a sliding mode control (SMC) strategy with maximized existence region (ER) is presented for DC–DC buck converters. The ERs of the sliding mode are determined from the existence condition of the SMC. It is shown that the ER can be enlarged to its maximum size by an optimum sliding coefficient whose equation is determined analytically. Also, it is pointed out that the enlargement of the ER results in a considerable improvement in the dynamic response of the output voltage. In addition, it is shown that the optimum sliding coefficient is not sensitive to the variations in the DC input voltage and load resistance. Moreover, the capacitor current that is employed in the sliding surface function to avoid the derivative operation does not lead to any steady‐state error in the output voltage in case of an uncertainty in the capacitance value. The correctness of the proposed control approach is validated by computer simulations and experimental results. These results demonstrate that the proposed SMC strategy results in an excellent dynamic response without overshoot and undershoot in the output voltage and inductor current and guarantees a maximized ER for the sake of stronger closed‐loop stability.

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Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sliding mode control strategy with maximized existence region for DC–DC buck converters

Kömürcügil

2020

Int Trans Electr Energ Syst

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“…The conventional control methods can be classified as voltage mode controller (VMC) and current mode controller (CMC). The VMC uses PI, Type II, or Type III compensators with a single closed-loop voltage feedback [27,28]. The CMC uses dual-voltage and current loops to improve the performance of the converter, but it depends on a current sensor and a latching circuit based on a clocking signal.…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Analysis of a New Intelligent Charging Controller for Off-Board Electric Vehicles Using PV Standalone System Represented by a Small-Scale Lithium-Ion Battery

2022

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Electric vehicles are rapidly infiltrating the power grid worldwide, initiating an immediate need for a smart charging technique to maintain the stability and robustness of the charging process despite the generation type. Renewable energy sources (RESs), especially photovoltaic (PV), are becoming the essential source for electric vehicle charging points. The stochastic behavior of the PV output power affects the power conversion for regulating the battery charger voltage levels, which influences the battery to overheat and degrade. This study presents a PV standalone smart charging process for off-board plug-in electric vehicles, represented by a small-scale lithium-ion battery based on the multistage charging currents (MSCC) protocol. The charger comprises a DC–DC buck converter controlled by an artificial neural network predictive controller (NNPC), trained and supported by the long short-term memory recurrent neural network (LSTM). The LSTM network model was utilized in the offline forecasting of the PV output power, which was fed to the NNPC as the training data. Additionally, it was used as an alarm flag for any possible PV output shortage during the charging process in the long- and short-term prediction to be supported by any other electricity source. The NNPC–LSTM controller was compared with the fuzzy logic and the conventional PID controllers while varying the input voltage and implementing the MSCC protocol. The proposed charging controller perfectly ensured that the minimum battery terminal voltage ripple and charging current ripple reached 1 mV and 1 mA, respectively, with a very high-speed response of 1 ms in reaching the predetermined charging current stages. The present simulated and experimental results are in good agreement with the previous related work in the literature survey.

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“…Practical challenges for designing the low-power buck converter using SMC are presented in [31]. Various modifications of SMC to regulate dc/dc converters in industrial applications are proposed in [32]- [35]. This paper's content is divided into different sections: In Section 2, the buck converter model and its modes are presented.…”

Section: Introductionmentioning

confidence: 99%

Review on Performance Analysis of Three Control Techniques for Buck Converter feeding a Resistive Load

Mustafa

Ahmad

2022

IJIST

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In power systems, DC/DC converters are used to reduce or improve the dc voltage level. A dc/dc converter's major difficulty is controlling the output dc voltage closer to the desired set-point voltage at the load and input voltage fluctuation. Designers aim for better efﬁciency, reduced harmonics, and higher power while keeping converter size and power under safe limits. Several control techniques are used in dc/dc converters to overcome the problems mentioned above. This paper compares the transient performance of three control techniques, namely proportional-integral-derivative (PID) control, fuzzy logic control (FLC), and sliding mode control (SMC) methods, after a brief introduction of these techniques. Secondly, the three techniques have performed simulation results of a buck converter feeding a resistive load. Comparative analyses are presented for various conditions such as input voltage and load variation tests. It is observed that SMC outperforms the other two methods for both simulation scenarios.

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Simplified Nonlinear Voltage-Mode Control of PWM DC-DC Buck Converter

Cited by 26 publications

References 35 publications

Sliding mode control strategy with maximized existence region for DC–DC buck converters

Sliding mode control strategy with maximized existence region for DC–DC buck converters

Theoretical and Experimental Analysis of a New Intelligent Charging Controller for Off-Board Electric Vehicles Using PV Standalone System Represented by a Small-Scale Lithium-Ion Battery

Review on Performance Analysis of Three Control Techniques for Buck Converter feeding a Resistive Load

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