Performance analysis of the tracking of the global extreme on multimodal patterns using the Asymptotic Perturbed Extremum Seeking Control scheme |
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| Authors: | Nicu Bizon Erol Kurt |
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| Affiliation: | 1. Faculty of Electronics, Communications and Computers Science, University of Pitesti, 1 Targu din Vale, Arges, 110040 Pitesti, Romania;2. University Politehnica of Bucharest, Doctoral School, Bucharest, Romania;3. Faculty of Technology, Department of Electrical and Electronics Engineering, Gazi University, 06500 Teknikokullar, Ankara, Turkey |
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| Abstract: | This paper presents the capability of the Asymptotic Perturbed Extremum Seeking Control (aPESC) scheme to track the Global Extreme on multimodal patterns. The multimodal patterns are simulated based on power characteristics generated by a photovoltaic (PV) array under Partial Shading Conditions (PSCs). The aPESC scheme is tested to evaluate the performance of locating, searching and tracking of the Global Maximum Power Point (GMPP). The following performance indicators such as the searching resolution, tracking accuracy, tracking efficiency, and tracking speed are used to compare the performance of the GMPP tracking (GMPPT) algorithms. The aPESCH1 scheme proposed has been implemented in MATLAB/Simulink package to evaluate the performance indicators mentioned above. The results prove that the proposed aPESCH1 scheme is effective and simple to be implemented. |
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| Keywords: | Extremum Seeking Control (ESC) Photovoltaic (PV) Partially Shaded Conditions (PSCs) Global Maximum Power Point Tracking (GMPPT) Multimodal pattern |
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