JRM Vol.27 No.5 pp. 489-495
doi: 10.20965/jrm.2015.p0489


Improvement of EMC in MPPT Control of Photovoltaic System Using Auto-Tuning Adaptive Velocity Estimator

Tsuyoshi Ohba, Risa Matsuda, Haruo Suemitsu, and Takami Matsuo

Department of Architecture and Mechatronics, Oita University
700 Dannoharu, Oita 870-1192, Japan

April 27, 2015
July 15, 2015
October 20, 2015
maximum power point tracking, incremental conductance method, differential filter, electro-magnetic compatibility (EMC)
Proposed modified-IC method
Output by a photovoltaic array is nonlinear and changes with solar irradiation and cell temperature. Maximum Power Point Tracking (MPPT) is needed to maximize the energy produced. Most MPPT techniques include the time derivative of current and voltage. These electrical signals are disturbed by high-frequency noise such as from the power device switching. Lowpass filters are used to reduce circuit noise, but estimation error occurs when the maximum power point is calculated. We therefore apply an adaptive observer to estimate the time derivative of noisy signals. Specifically, we propose an auto-tuning velocity estimator with a forgetting factor based on the adaptive observer. We also improve the incremental conductance method by using an auto-tuning velocity estimator.
Cite this article as:
T. Ohba, R. Matsuda, H. Suemitsu, and T. Matsuo, “Improvement of EMC in MPPT Control of Photovoltaic System Using Auto-Tuning Adaptive Velocity Estimator,” J. Robot. Mechatron., Vol.27 No.5, pp. 489-495, 2015.
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