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Fractional Integral Terminal Sliding Mode MPPT Control for Photovoltaic System

机译:光伏系统的分数积分终端滑模MPPT控制

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In modern era, solar energy has gained attention across the world in all renewable energy resources. The most well-known research area in photovoltaic (PV) system is to attain the maximum power point (MPP). The maximum power point tracking (MPPT) application for the solar system is greatly appreciable and plays the vital role in the making of efficient solar system. In this paper, fractional integral terminal sliding mode based (FITSMC) nonlinear MPPT control paradigm is presented for extraction of maximum power for the stand-alone PV system under continuously varying climatic conditions (i.e., temperature and solar irradiance), varying resistive load, fault and uncertainty. The non-inverting topology of Buck-Boost converter is used in this study. RBF NN (Radial basis function neural network) is trained to generate the reference for the proposed controller. MATLAB/Simulink tool is used for testing the performance of proposed MPPT controller. Lyapunov stability method is utilized for controller's finite time stability. Furthermore, FITSMC controller performance is validated through comparison with conventional techniques proportional integral derivative (PID) controller and perturb and observe (P&O) algorithm.
机译:在现代时代,太阳能已在全球所有可再生能源中得到关注。光伏(PV)系统最著名的研究领域是达到最大功率点(MPP)。太阳能系统的最大功率点跟踪(MPPT)应用非常可观,并且在高效太阳能系统的制造中起着至关重要的作用。在本文中,提出了基于分数积分终端滑模(FITSMC)的非线性MPPT控制范例,用于在不断变化的气候条件(即温度和太阳辐照度),变化的电阻性负载,故障下提取独立光伏系统的最大功率和不确定性。本研究使用降压-升压转换器的同相拓扑。 RBF NN(径向基函数神经网络)经过训练,可为所提出的控制器生成参考。 MATLAB / Simulink工具用于测试建议的MPPT控制器的性能。利用Lyapunov稳定性方法来实现控制器的有限时间稳定性。此外,通过与常规技术比例积分微分(PID)控制器和扰动和观测(P&O)算法进行比较,可以验证FITSMC控制器的性能。

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