What does this research mean for the field?

Advanced maximum power point tracking methodologies, specifically sliding mode control and Kalman filter, can be utilized to overcome the limitations of conventional algorithms in locating the global maximum power point for photovoltaic water pumping systems under partial shading conditions. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To compare the tracking performance, convergence speed, and ripple reduction of sliding mode control and Kalman filter maximum power point tracking against conventional perturb and observe in a direct-torque-controlled solar water pumping system experiencing partial shading.

September 10, 2026ElectricityOpen Access

Comparative Evaluation of Kalman Filter and Sliding Mode Control for MPPT in a DTC-Controlled Three-Level Inverter-Fed Induction Motor Photovoltaic Water Pumping System Under Partial Shading

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Authors

SJSalma JnayahUniversity of Sousse AKAdel KhedherUniversity of Sousse

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Implication

Simulation study reveals superior tracking speed and efficiency of advanced MPPT methods in solar water pumping under partial shading, indicating practical control paths for battery-less systems.

Key Points

To compare the tracking performance, convergence speed, and ripple reduction of sliding mode control and Kalman filter maximum power point tracking against conventional perturb and observe in a direct-torque-controlled solar water pumping system experiencing partial shading.
Modeled a storage-less photovoltaic water pumping system driving a three-phase induction motor via a three-level inverter and direct torque control in MATLAB/Simulink.
Implemented sliding mode control and stochastic Kalman filter algorithms to overcome multi-peak power–voltage curves caused by partial shading, benchmarking both against standard perturb and observe.
Both sliding mode control and Kalman filter tracking improved dynamic response and global peak tracking relative to perturb and observe under non-convex partial shading conditions.
Identified distinct trade-offs in tracking efficiency, convergence speed, and steady-state ripple between robust sliding mode control and stochastic state estimation techniques.

Cite This Study

Jnayah et al. (2026) studied this question.

synapsesocial.com/papers/6aa27b2658559d80afc741ee https://doi.org/10.3390/electricity7030100

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Implication

Simulation study reveals superior tracking speed and efficiency of advanced MPPT methods in solar water pumping under partial shading, indicating practical control paths for battery-less systems.

Comparative Evaluation of Kalman Filter and Sliding Mode Control for MPPT in a DTC-Controlled Three-Level Inverter-Fed Induction Motor Photovoltaic Water Pumping System Under Partial Shading

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Implication

Key Points

Cite This Study

Comparative Evaluation of Kalman Filter and Sliding Mode Control for MPPT in a DTC-Controlled Three-Level Inverter-Fed Induction Motor Photovoltaic Water Pumping System Under Partial Shading

Discussion

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Implication

Key Points

Cite This Study

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