Fuzzy and predictive Control of a Photovoltaic Pumping System based on Three-level Boost Converter

Zakaria Massaq, Abdelouahed Abounada, Mohamed Ramzi

Abstract


In this work, an efficient control scheme for a double stage pumping system is proposed. On the DC side, a three-level boost converter is employed to maximize the photovoltaic power and to step-up the DC-link voltage. For maximum power point tracking, the classical incremental conductance method is substituted by a fuzzy logic controller. The designed controller estimates the optimal step size which speeds up the tracking process and improves the accuracy of the photovoltaic power. Afterwards, the voltages across the TLBC capacitors are balanced by phase shifting the applied duty ratios. On the motor pump side, a two-level inverter drives the motor pump with the cascaded nonlinear predictive control. The predictive controller is preferred over the conventional field-oriented control because it accelerates the torque response and resists to the change of the engine parameters. The designed controllers are evaluated using MATLAB / Simulink, and compared with the conventional controllers (fixed step size incremental conductance algorithm and field-oriented control). The robust control scheme of the entire system has increased the hydraulic power by up to 23% during the system start-up and up to 10% in steady state.

Keywords


Fuzzy logic control, Model predictive control, Photovoltaic, Variable step-size MPPT, Water pumping system.

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DOI: https://doi.org/10.11591/eei.v10i3.2605

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