Adaptive sliding mode control of buck converter feeding resistive and constant power load in DC microgrid

Mustafa, Ghulam; Ahmad, Fiaz; Zhang, Ruihong; Haq, Ejaz Ul; Hussain, Muntazir

doi:10.1016/j.egyr.2022.11.131

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…Remark 2. In [22], the authors suggest an adaptive sliding-mode control for a buck converter to supply a resistive and a constant power load in a DC microgrid, which is mainly focused on the stability of the systems, and also the robustness of the control strategy. However, compared to the paper above, our purpose is different, which is to find an admissible control to achieve the minimum of the cost functional through the variational method.…”

Section: Preliminarymentioning

confidence: 99%

Mean-Field Stochastic Linear Quadratic Optimal Control for Jump-Diffusion Systems with Hybrid Disturbances

Tang,

Li,

Wang

2024

Symmetry

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A mean-field linear quadratic stochastic (MF-SLQ for short) optimal control problem with hybrid disturbances and cross terms in a finite horizon is concerned. The state equation is a systems driven by the Wiener process and the Poisson random martingale measure disturbed by some stochastic perturbations. The cost functional is also disturbed, which means more general cases could be characterized, especially when extra environment perturbations exist. In this paper, the well-posedness result on the jump diffusion systems is obtained by the fixed point theorem and also the solvability of the MF-SLQ problem. Actually, by virtue of adjoint variables, classic variational calculus, and some dual representation, an optimal condition is derived. Throughout our research, in order to connect the optimal control and the state directly, two Riccati differential equations, a BSDE with random jumps and an ordinary equation (ODE for short) on disturbance terms are obtained by a decoupling technique, which provide an optimal feedback regulator. Meanwhile, the relationship between the two Riccati equations and the so-called mean-field stochastic Hamilton system is established. Consequently, the optimal value is characterized by the initial state, disturbances, and original value of the Riccati equations. Finally, an example is provided to illustrate our theoretic results.

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Section: Preliminarymentioning

confidence: 99%

Mean-Field Stochastic Linear Quadratic Optimal Control for Jump-Diffusion Systems with Hybrid Disturbances

Tang,

Li,

Wang

2024

Symmetry

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“…For these reasons and considering the switching nature of DC choppers, the application of the SMC as a robust non-linear controller drew more attention in recent years. For example, maximum power point tracking of the photovoltaic arrays [1], bus regulation in DC micro-grid systems, and feeding constant-power loads [2], sensor less speed control of the permanent magnet DC motors [3], wireless charger for hybrid electric vehicles [4], and emulator design of an electromechanical actuator used in the more electric aircraft [5] are some examples of nonlinear controller design using the SMC.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Adaptive Partial Sliding Mode Controller Design and Tuning in Non-Minimum Phase Switch-Mode Power Supplies

Salimi

2023

Electronics

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In this article, a novel systematic approach is proposed for a partial sliding mode controller (SMC) design and tuning in non-minimum phase switch-mode power supplies (SMPS). To achieve a more simplified controller in comparison with the conventional SMCs, the partial SMC (PSMC) is introduced in this article, which just requires a part of the sliding surface for controller formulation. The accuracy of the developed PSMC is proved mathematically within the entire range of operation. Since the control parameters of the PSMC are not selected by trial and error, it can maintain the stability and robustness of the closed-loop system in a broad operational range. In this regard, and to develop a systematic approach for robust control of SMPS, a constant frequency equivalent SMC is designed using the converter nominal parameters. Then, the extracted controller is combined with an adaptive component to ensure asymptotical stability against load and line changes. Considering the Lyapunov stability criteria for nonlinear systems, it is proved that the presented SPMC can be used for output voltage regulation in both discontinuous and continuous operating modes with zero steady state error. To avoid the trial and error method during the controller tuning and parameters selection, the system characteristic equation is extracted using the Jacobian approach. Considering the roots of the characteristic equation and the stable range of the closed-loop system, the controller parameters are tuned. Furthermore, in addition to simulation, the developed approach is evaluated practically using the TMS3220F2810 digital signal processor. It is shown that the dynamic response of the proposed approach is faster than the standard double-loop SMC during load and line changes. Additionally, it is seen that the developed controller is robust against model changes in both continuous and discontinuous operations.

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Stable Fractional-order Adaptive Sliding-based Control and Synchronization of two Fractional-order Duffing–Holmes Chaotic Systems

Tabasi,

Hosseini,

Houshmand

2024

J Control Autom Electr Syst

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Adaptive sliding mode control of buck converter feeding resistive and constant power load in DC microgrid

Cited by 9 publications

References 17 publications

Mean-Field Stochastic Linear Quadratic Optimal Control for Jump-Diffusion Systems with Hybrid Disturbances

Mean-Field Stochastic Linear Quadratic Optimal Control for Jump-Diffusion Systems with Hybrid Disturbances

A Novel Approach for Adaptive Partial Sliding Mode Controller Design and Tuning in Non-Minimum Phase Switch-Mode Power Supplies

Stable Fractional-order Adaptive Sliding-based Control and Synchronization of two Fractional-order Duffing–Holmes Chaotic Systems

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