Adaptive Fractional order Control of Photovoltaic Power Generation System with Disturbance Observer

Veisi, Amir; Delavari, Hadi

doi:10.1109/iccia52082.2021.9403598

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…affected by wide changes in the operating point. Among the nonlinear controllers, the sliding mode control (SMC) [25,26] and adaptive control [27,28] are more popular. The SMC has been widely employed for the closed-loop control of power electronics converters due to its robust behaviour, fast dynamic response, and ease of practical implementation.…”

Section: Yahya and Alomarimentioning

confidence: 99%

A Novel Lyapunov-Based Nonlinear Controller Design for Model-Based MPPT of the Thermoelectric Generators

et al. 2023

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A novel model-based approach for closed-loop control and maximum power point(MPP) tracking of thermoelectric generators (TEG) has been presented using the nonlinear Lyapunov-based approach. As the TEG power derivative is always zero at MPP, it can be employed as a feedback signal for the controller. Hence, the reference value of controller will always be zero which simplifies the controller structure significantly. Since the reference calculation block can be removed, there is no need for a cascade multi-loop controller which can improve the controller's dynamic response.Due to the elimination of reference calculation unit, the proposed controller demonstrates superior performance, e.g., during temperature and load changes. The asymptotic stability of proposed controller has been proved. To evaluate the accuracy of the controller, it is simulated by using MATLAB software. Moreover, the experimental responses are provided by employing the TMS320F28335 DSP from Texas Instruments.According to the simulation and experimental results and despite temperature and load changes in a wide range, the closed-loop system shows a stable and robust performance 2014. Since 2006, he has been with the Faculty of Electrical Engineering at Islamic Azad University, Ardabil Branch, Ardabil, Iran, where he is a Professor of Electrical Engineering. His research interests include smart grids, power system planning, and power electronics applications.

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Section: Yahya and Alomarimentioning

confidence: 99%

A Novel Lyapunov-Based Nonlinear Controller Design for Model-Based MPPT of the Thermoelectric Generators

et al. 2023

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“…Achieving a greater region of stability, removing the chattering effects, greater flexibility and more precision of system performances are some of the key advantages of this strategy. [28][29][30][31][32] In FOSMC it is assumed that the upper bound of uncertainty is completely known, but in practice it is not simple to define these bounds precisely. It is obvious that the adaptive control technique is one of the best effective approaches which has numerous attractive aspects, such as its compatibility with uncertainty in system parameters.…”

Section: Introductionmentioning

confidence: 99%

Adaptive optimized fractional order control of doubly‐fed induction generator (DFIG) based wind turbine using disturbance observer

Veisi

Delavari

2023

Env Prog and Sustain Energy

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Wind energy systems are pollution free and clean form of the renewable energy production. The dynamic model of a wind turbine system based on a doubly fed induction generator (DFIG) is exposed to external disturbances, uncertainties, and nonlinear dynamics. In this paper to ensure the system robustness against external disturbance and uncertainty in system parameters, a novel optimized fractional order robust adaptive sliding mode controller is proposed by utilizing a disturbance observer. The controller's main goal is to track the maximum power point of the wind turbine. In order to show the superiority of the proposed method, the results under normal conditions and in the presence of disturbance and uncertainty have been compared with the classical sliding mode control (SMC) and adaptive sliding mode control (ASMC). The parameters of all three controllers have been optimized by ant colony optimization (ACO) algorithm. The proposed method does not need the knowledge of the upper bounds of model uncertainty and disturbance. Also by using the fractional order operators in the control signal of the proposed method, its robustness against model uncertainty and disturbance is increased and it can extract the maximum power than the other compared methods.

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PID and FOPID Controllers Combinations During Control of 3D Crane Optimized with GWO Algorithm

Żegleń-Włodarczyk

Wajda

2022

Advances in Intelligent Systems and Computing

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Adaptive Fractional order Control of Photovoltaic Power Generation System with Disturbance Observer

Cited by 8 publications

References 9 publications

A Novel Lyapunov-Based Nonlinear Controller Design for Model-Based MPPT of the Thermoelectric Generators

A Novel Lyapunov-Based Nonlinear Controller Design for Model-Based MPPT of the Thermoelectric Generators

Adaptive optimized fractional order control of doubly‐fed induction generator (DFIG) based wind turbine using disturbance observer

PID and FOPID Controllers Combinations During Control of 3D Crane Optimized with GWO Algorithm

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