Fractional Order Sliding Mode Control Design for a Buck Converter Feeding Resistive Power Loads

Ullah, Nasim

doi:10.18280/mmep.070418

Cited by 5 publications

(6 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed case C seems to be a good surface for the control of the DC-DC buck converter. However, it is probably possible to find a value between c = 0.001 and c = 0.015 for case B, which would provide a similar transient response both in voltage and current to the proposed case C. Experimental results on the electronic implementation of some SMC methods can be appreciated in [3,4,6]. In particular, the experimental results given in [6] show that the SMC method suppress the chattering effect and maintains robustness under load variations and parametric uncertainties.…”

Section: Discussion Of Simulation Resultsmentioning

confidence: 91%

“…The versatility of this converter makes it suitable for low and high-power applications. Among the main applications of the DC-DC buck converters, one can see their use in micro-grids [3][4][5][6], renewable energy systems [1,7,8], photovoltaic systems and battery charging [9,10], LED driver and energy management [11,12], speed control of DC and AC motor drivers [2,13] and so on.…”

Section: Introductionmentioning

confidence: 99%

“…One of the main objectives of most closed-loop feedback-controlled DC-DC converters is to ensure that the converter operates with fast dynamic response, small steady-state output error and low overshoot while maintaining high efficiency and low noise emission in terms of the rejection of input voltage changes uncertainties and load variations [14]. In this regard, the frequently used control methods applied to DC-DC converters can be associated to proportional-integral-derivative (PID) [2,4,5] and feedback linearization [3,4,15]. However, linear control methods require the plant to be linearized and thus are quite sensitive to external variations and uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…These problems can be mitigated by applying non-linear control methods, which improve transient response. Some of the currently applied non-linear control methods are, for example, optimal control [3], model predictive control (MPC) [1], neuronal network, extended state observer based control [8], fuzzy logic control (FLC) [7,9], passivity-based control [12], sliding mode control (SMC) [16], twisting based SMC [6,11] and sliding mode observer [17]. In this paper, it is shown that the DC-DC buck converter is highly effective for DC voltage regulation, and the desired voltage output is ensured by implementing an SMC considering three different cases of the control law.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On the Sliding Mode Control Applied to a DC-DC Buck Converter

et al. 2023

View full text Add to dashboard Cite

This work shows the voltage regulation of a DC–DC buck converter by applying sliding mode control using three different cases of sliding surfaces. The DC–DC buck converter is modeled by ordinary differential equations (ODEs) that are solved by applying numerical methods. The ODEs describe two state variables that are associated to the capacitor voltage and the inductor current. The state variable associated to voltage is regulated by applying two well-known sliding surfaces and a third one that is introduced herein to improve the response of the sliding mode control. The stability of the proposed sliding surface is verified by using a Lyapunov theorem to guarantee closed-loop stability. Finally, simulation results show the improvement of voltage regulation when applying the proposed sliding surface compared to already reported approaches.

show abstract

Section: Discussion Of Simulation Resultsmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the Sliding Mode Control Applied to a DC-DC Buck Converter

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In the FOSMC, the improvement in terms of chattering reduction [37] and fast response [38][39][40][41][42][43], is achievable through the concept of fractional order calculus [44]. With these advantages, the FOSMC was utilized in several applications such as aerospace [45][46][47][48], missile guidance [49][50][51], automotive [52][53], robotic [40,[54][55][56][57], energy, and power systems [58][59][60][61]. Also, the SEIR epidemic model's vaccination control policy was established by the FOSMC [62][63].…”

Section: Introductionmentioning

confidence: 99%

Fractional Order Sliding Mode Controller for HBV Epidemic System

Boonyaprapasorn¹,

Kuntanapreeda²,

Ngaimsunthorn³

et al. 2022

MMEP

View full text Add to dashboard Cite

The Hepatitis-B (HBV) epidemic's dynamic can be presented as a compartment model. Determining the HBV epidemic control strategy can be considered a nonlinear feedback control problem. The sliding mode controller (SMC) is an effective feedback control method for controlling the dynamical system under disturbances. Recently, the SMC based on fractional order calculus can provide preferable characteristics for a control system such as robustness and convergence rate. In this study, the HBV epidemic system's control policy is proposed using the fractional order sliding mode controller (FOSMC). The control policy with multiple measures including vaccination, isolation, and treatment is formulated to manipulate the susceptible and the infected subpopulations to the desired level. The Lyapunov-based approach is proven for stability analysis. The control policy is applied to the simulation example to verify the feasibility of the proposed FOSMC method. The simulation results are compared with those of the integer order SMC. By the proposed method, the results reveal that the susceptible and infected subpopulations are driven to the desired levels under disturbances with a higher convergence rate compared to that of the integer one. Moreover, the proposed FOSMC method can reduce the chattering occurrence which is the primary drawback of the SMC method.

show abstract