Novel MPPT for Linear-Rotational Sun-Tracking System Using Fractional Fuzzy Grey-Based Sliding Mode Control
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RESEARCH PAPER
Novel MPPT for Linear-Rotational Sun-Tracking System Using Fractional Fuzzy Grey-Based Sliding Mode Control S. Milad Babaei1 • Meisam Yahyazadeh1
•
Hassan Fatehi Marj1
Received: 11 July 2019 / Accepted: 1 February 2020 Ó Shiraz University 2020
Abstract In this paper, a novel maximum power point tracking (MPPT) in PV system is presented. In sliding mode control schemes, discontinuous reaching law involves high control activity and the future may excite high-frequency dynamics. Reaching speed is also limited by using smoothing functions in reaching law of sliding mode control. Hence, a nonlinear reaching law is proposed by a fuzzy inference system as inputs in the sliding function, and to forecast the future error value, a onestep-ahead terminal voltage prediction is obtained by a grey prediction algorithm based on fractional-order model. The proposed algorithm has the advantage of high accuracy, maintaining faster response than other hardware implementations and handling both model-based and model-free approaches to make it easy for implement. Also, the new MPPT is integrated with novel design of dual-axis sun-tracking system based on rotational and linear joints. The system can be switched to linear-rotational or one-axis sun-tracking arbitrary as required by the user and automatically started up in the daytime with low electricity power consumption motors. Automatic sun tracking is attained against cloud disturbance and any weather conditions with high-power generation. The simulation and experimental results are presented to verify the effectiveness of the proposed dual-axis sun tracking and MPPT with a comprehensive comparison between the new approach and the other up-to-date algorithms and designs. Keywords Photovoltaic system Dual-axis sun tracker Fractional-order model Grey prediction Fuzzy logic
1 Introduction Photovoltaic (PV) systems represent a great substitute to produce clean energy. They can be dimensioned for a wide range of power ratings in both stand-alone and grid-connected applications (Abdul Aziz et al. 2017; Kala and Arora 2017). In addition, many researches look for a way to increase the efficiency of solar panels. For this purpose, different methods are presented in this area. For example, one way to increase the power of panel is MPPT. Many MPPT algorithms have been proposed to maximize the PV array output power and increase the system efficiency which depends on panel’s temperature and on irradiance conditions. A class of the MPPTs known as the ‘‘perturb and observe’’ (P&O) method is easily implemented and has & Meisam Yahyazadeh [email protected]; [email protected] 1
been widely adopted as low-cost applications (Ahmad et al. 2019). The maximum power point tracking based on the sliding mode control of the PV module admittance is reviewed in (Montoya et al. 2016). In Mojallizadeh et al. (2016), a new sliding mode controller for maximum power point tracking of photovoltaic cells is proposed to obtain peak of power. The method is robust to environment cha
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