Design of second order sliding mode and sliding mode algorithms: a practical insight to DC-DC buck converter

Rakhtala, Seyed Mehdi; Yasoubi, Monazzahalsadat; HosseinNia, S. Hassan

doi:10.1109/jas.2017.7510550

Cited by 48 publications

(43 citation statements)

References 25 publications

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“…As a result, ρ 1 (x ′ , S, t) and ρ 2 (x ′ , t) of the extension of equation (46) are obtained and g 1 (t, x) and g 2 (t, x) can be calculated. Due to the complexity of the equations, the calculation was performed by final values of g 2 (t, x) and g 1 (t, x) that were obtained from equation (31). According to equation (37), the variable gains finally were obtained.…”

Section: As a Resultmentioning

confidence: 99%

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Robust control design for air breathing proton exchange membrane fuel cell system via variable gain second‐order sliding mode

Mirrashid

Rakhtala

Ghanbari³

2018

Energy Science & Engineering

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The nonlinear and time‐dependent characteristic and unknown modeling uncertainty of proton exchange membrane fuel cell (PEMFC) such as complex electro‐chemical, thermal, and fluid mechanic phenomena make its controller design quite challenging. In this paper, a controller based on a super twisting algorithm (STA) with variable gains is proposed to control the air breathing system of PEMFC. The strategy includes regulating the oxygen excess ratio (λnormalO2) for preventing the stack oxygen starvation and maintaining optimum net power output in spite of external disturbances and model uncertainties. The proposed algorithm has the main advantages of the fixed gain STA, such as robustness against the disturbance and parametric uncertainties with the unknown boundary, chattering reduction, and finite time convergence. The Lyapunov analysis was proposed to assess the stability of the Variable Gain Super Twisting Algorithm (VGSTA). The results verified the effectiveness of the proposed controller with attaining robust regulation against uncertainties, disturbances, and noisy circumstance compared to fixed gain SOSM controllers.

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Section: As a Resultmentioning

confidence: 99%

“…In [31] as a different type research, is proposed with second-order and conventional sliding mode algorithm for DC-DC buck converter. A comparison study between first-order sliding mode control and SOSM algorithm was developed.…”

Section: Introductionmentioning

confidence: 99%

Robust control design for air breathing proton exchange membrane fuel cell system via variable gain second‐order sliding mode

Mirrashid

Rakhtala

Ghanbari³

2018

Energy Science & Engineering

Self Cite

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“…Buck type converter with lower output voltage than the input voltage is one of the important topology of DC-DC power converters and is used in a wide range of applications, such as battery powered equipment, computers, electric vehicle, DC motor drive system, renewable energy systems and DC micro grid systems. [1][2][3][4][5][6][7][8] The tracking accuracy of the output voltage of the Buck Converter (BC) is particularly important for the performance of the devices connected to it. However, achieving the precise output voltage regulation is a challenging task since during the normal operation the BC can be effected by various disturbances, such as the load variations, the input voltage variations, and also the parameter uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…These disturbances can cause a decrease in performance and even instability. Therefore, the controller design for the BC is acknowledged as an important issue in the literature and numerous control methods [1][2][3][4][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] have been presented to improve the transient and steady-state performance of the converter even in the presence of the disturbances.…”

Section: Introductionmentioning

confidence: 99%

Simple and robust voltage controller for buck converters based on the coefficient ratio method

Yazıcı

2020

Int Trans Electr Energ Syst

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In this study, an improved characteristic ratio-based controller is proposed for Buck Converters, which is used in many different industrial applications. The proposed control method, in addition to being simple in design, its implementation is also simple as only the output voltage is needed to calculate the control signal. The step-type reference tracking performance of the designed controller is investigated by experimentally. In addition, the robustness of the designed controller against the uncertainty in the parameters and disturbances such as load and input voltage variations has been investigated in detail by simulation and experimental studies in comparison with classical PID controller.

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“…In a practical application, the sliding mode control (SMC) has the advantages of a fast dynamic response, good stability and strong anti-disturbance ability [12][13][14]. A grid voltage observer based on a sliding mode is proposed in [15] and verified by experiments.…”

Section: Introductionmentioning

confidence: 99%

Discrete Sliding Mode Control Strategy for Start-Up and Steady-State of Boost Converter

Yang

Liao

2019

Energies

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Since the zero initial conditions of the boost converter are far from the target equilibrium point, the overshoot of the input current and the output voltage will cause energy loss during the start-up process when the converter adopts the commonly used small-signal model design control method. This paper presents a sliding mode control strategy that combines two switching surfaces. One switching surface based on the large-signal model is employed for the start-up to minimize inrush current and voltage overshoot. The stability of this strategy is verified by Lyapunov theory and simulation. Once the converter reaches the steady-state, the other switching surface with PI compensation of voltage error is employed to improve the robustness. The latter switching surface, which is adopted to regulate the voltage, can not only suppress the perturbation of input voltage and load, but also achieve a better dynamic process and a zero steady-state error. Furthermore, the discrete sliding mode controller is implemented by digital signal processor (DSP). Finally, the results of simulation, experiment and theoretical analysis are consistent.

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Design of second order sliding mode and sliding mode algorithms: a practical insight to DC-DC buck converter

Cited by 48 publications

References 25 publications

Robust control design for air breathing proton exchange membrane fuel cell system via variable gain second‐order sliding mode

Robust control design for air breathing proton exchange membrane fuel cell system via variable gain second‐order sliding mode

Simple and robust voltage controller for buck converters based on the coefficient ratio method

Discrete Sliding Mode Control Strategy for Start-Up and Steady-State of Boost Converter

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