Comparison of sliding mode controller application for buck-boost converter based on linear sliding surface

Ardhenta, Lunde; Nurwati, Tri

doi:10.11591/ijpeds.v13.i1.pp423-431

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…It has the benefits of small size, low cost and high efficiency [13]. In the utilization of photovoltaic (PV), a DC voltage converter is needed as a voltage regulator output [14]. In order to increase the voltage level, it is important to design and study new high gain, efficient upgrade converters [15].…”

Section: Introductionmentioning

confidence: 99%

Fabrication and experimental study of transformer 400 V with a simple rectifier circuit design

Puspasari

Sismanto

Ashari

2023

IJECE

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The demand for increased voltage in renewable energy sources is relatively high. This study examines the rapid development of technology considering the use of voltage-increasing transformers. Voltage regulator circuits are generally used to stabilize the output voltage of the rectifier according to the amount of input from the transformer. However, components for high-voltage stabilizer circuits are rare, which becomes an obstacle to the stabilization of the rectifier output. This study aimed to determine the performance of the designed rectifier circuit against a non-center tap step-up direct current (DC) 400 V transformer and compare the measurement results to manual calculations. The research method is a direct comparison between the input and output voltage values of the transformer after going through a rectifier circuit. This experiment was conducted using the repeatability method three to five times for each voltage variation on the transformer. The voltage variations successfully created are 0 to 50, 0 to 100, 0 to 200, and 0 to 400 V. The output test results from the DC transformer and rectifier circuit show linear results and an increase in peak-to-peak voltage data between the transformer and rectifier outputs by 3.8%.

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Section: Introductionmentioning

confidence: 99%

Fabrication and experimental study of transformer 400 V with a simple rectifier circuit design

Puspasari

Sismanto

Ashari

2023

IJECE

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“…The major problem with all these MPPTs is the degree of dependence of the tracking response on the disturbance size. Additionally, even under stable conditions, the tracking signal oscillates approximately about its reference point [6]. To keep MPP monitoring accurate, a second loop, typically a PI controller, must be used [7].…”

Section: Introductionmentioning

confidence: 99%

Maximum power point tracker using an intelligent sliding mode controller of a photovoltaic system

Abboud

Habachi

Boulal³

et al. 2023

IJPEDS

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<span lang="EN-US">The operating performance of a PV module/array is extremely reliant on the weather (temperature/irradiation) and non-linear. Thus, to ensure that the PV array produces the maximum possible power at any time and regardless of the external conditions, maximum power point tracking (MPPT) techniques are required. The solution suggested in this paper involves taking into account two cascaded controllers as follows; the incremental conductance (INC) controller, which is intended to provide a reference proportional to the PV array's optimal power P<sub>MPP</sub>, and the sliding mode control (SMC), which is in charge of controlling the GPV voltage. The strategy of the SMC is to design a sliding surface that defines the operating point. The SMC combined with the INC aims to achieve fast MPPT action on PV systems using cascade control. The proposed controller is robust to changing weather conditions. In order to evaluate what is done, the results are compared with the INC+PI controller. When an abrupt change occurs, the SMC has a low transient and arrives to equilibrium sooner than the INC+PI controller. the results are presented by the PSIM software, and demonstrate the SMC controller's performance while confirming that the new approach has increased both production and energy efficiency.</span>

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“…Recently, proportional integral derivative (PID) controller based on optimization algorithms [7]- [9] and fuzzy logic [10]- [13] have proved their efficiency in terms of controlling such nonlinear, unstable systems; however, their implementation on quadrotors was very limited because of the presence of external disturbances which are hard to be predicted. In the literature, several techniques were developed for vehicles' control in general [14]- [16] and for quadrotors' control in particular such as sliding mode controller (SMC) [17], SMC approach built on backstepping controller (BSC) which produces high performances and faster response [18], [19], sliding controller combined with state observer compensate for uncertain nonlinear components [20]. As well, Backstepping based nonlinear control and adaptive SMC [21], PID control [22]- [25], nonlinear adaptive and predictive controllers [26]- [28], plus the controller eliminating active disturbances (ADRC) which deals with the study of path following performances where considering outer factors [4].…”

Section: Introductionmentioning

confidence: 99%

Enhanced backstepping control for disturbances rejection in quadrotors

et al. 2022

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This work studies the issue of quadrotor trajectory tracking control in presence of disturbances and model uncertainties. The paper starts by extracting the kinematics and dynamics models of the quadrotor. This results in the motion equations, which eventually serve as a blueprint for creating the suggested smart flight control scheme. Secondly, an enhanced backstepping controller (BSC) is developed and tested to keep the quadrotor tracking the desired trajectory both in steady state and in presence of disturbances. Finally, BSC beside two other controllers: sliding mode controller (SMC) and proportional derivative controller (PDC) are implemented in MATLAB/Simulink and the obtained results are compared and conclusions are extracted. Therefore, it is established that PDC is not robust to disturbances as noise will be amplified due to the derivative term. Whereas, although SMC is robust to parameter variations and disturbances; however, it is not continuous which may affect the actuators due to the increased gains which may saturate them. In contrast, BSC requires too many tuning parameters; however, it ensures Lyapunov Stability and does not depend on the system as it does not involve cancelling system nonlinearity. Moreover, BSC results are 1017 better than the results of the two other controllers.

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Comparison of sliding mode controller application for buck-boost converter based on linear sliding surface

Cited by 3 publications

References 13 publications

Fabrication and experimental study of transformer 400 V with a simple rectifier circuit design

Fabrication and experimental study of transformer 400 V with a simple rectifier circuit design

Maximum power point tracker using an intelligent sliding mode controller of a photovoltaic system

Enhanced backstepping control for disturbances rejection in quadrotors

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