Performance Optimization of a Solar Photovoltaic Water Pumping System Based on FL-DTC Control of a Three-Phase Induction Motor
DOI:
https://doi.org/10.66950/z8hqm262Keywords:
SPVWPS, FLC-MPPT , FL-DTC , induction motorAbstract
This paper presents a detailed investigation of a solar photovoltaic water pumping system (SPVWPS) driven by a three-phase induction motor (IM). The control scheme relies on three cooperating fuzzy regulators whose combined action aims to increase the energy efficiency and optimize the dynamic behavior of the installation. The first regulator, based on fuzzy logic and maximum power point tracking (FLC-MPPT), maintains the photovoltaic generator at its optimal operating point, thereby extracting the maximum available power irrespective of the prevailing weather. A second regulator implements a fuzzy direct torque control (FL-DTC), which enables precise and rapid regulation of the motor's torque and flux, while mitigating electromagnetic torque ripple and improving the quality of the electrical waveforms. A third fuzzy unit regulates the rotor speed, ensuring a faster dynamic response, better steady-state stability, and self-adaptation to load changes. The complete system was built and simulated in the MATLAB/Simulink environment in order to assess the proposed strategy. The obtained results demonstrate clear improvements in terms of settling time, stability and waveform quality as well as a higher flow rate that is a direct consequence of more precise motor speed regulation.
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