TY - JOUR
AU - Mami, Abdelkader
AB - This paper introduces a novel hybrid method for achieving Maximum Power Point Tracking (MPPT) in a photovoltaic-diesel-battery hybrid water pumping system driven by an induction motor drive (IMD). The innovative MPPT control strategy uniquely combines the rapid response and minimal oscillations of the Adaptive Neuro Fuzzy Inference System with the high robustness of Robust Terminal Sliding Mode Control (RTSMC). This combination ensures unprecedented steady-state resilience to changes in solar irradiance, enhancing system stability across a variety of IMD speeds, and making the system robust to parameter variations. Unlike traditional approaches, this two-stage photovoltaic (PV) setup integrates a regulated boost converter for MPPT control and a three-phase inverter using Space Vector Pulse Width Modulation (SVPWM) to regulate the DC link voltage (Vdc). Extensive MATLAB Simulink simulations demonstrate the proposed method’s superior efficiency in power extraction and its resilience under varying operating conditions, showcasing its originality and effectiveness.
TI - ANFIS-RTSMC based MPPT for a hybrid PV-diesel-battery water pumping system
JF - Measurement and Control
DO - 10.1177/00202940241277095
DA - 2025-06-01
UR - https://www.deepdyve.com/lp/ios-press/anfis-rtsmc-based-mppt-for-a-hybrid-pv-diesel-battery-water-pumping-YH3WfNMWgx
SP - 711
EP - 727
VL - 58
IS - 6
DP - DeepDyve
ER -