Skip to content
Open access

REAL-TIME ASSESSMENT OF A SOLAR WATER PUMPING SYSTEM UNDER NORMAL AND FAULTY OPERATING CONDITIONS

Sep 2026 · Revue Roumaine des Sciences Techniques - Serie Electrotechnique et Energetique · 0 citations · 25 references

Abstract

Solar-powered water-pumping systems are indispensable for ensuring consistent, efficient crop irrigation in remote, off-grid regions. In this paper, an advanced control strategy is implemented using the adaptive neuro-fuzzy inference system (ANFIS) to ensure maximum power extraction under all weather conditions. In addition, the induction motor (whether healthy or with one or more broken rotor bars) is coupled to a centrifugal pump in the solar water pumping system (SWPS). The motor's performance is precisely controlled using direct torque control (DTC). Furthermore, a fast Fourier transform (FFT) is used to monitor the induction motor’s state in the SWPS. Finally, the developed SWPS, operating under both healthy and faulty conditions, is experimentally validated via hardware-in-the-loop (HIL) tests using the OPAL-RT OP5600 platform and the Virtex-6 ML605 FPGA. Thanks to the applied methods, the investigated SWPS exhibits highly satisfactory, reliable performance across varying operating conditions. 

Read PDF

Similar papers

Conference Open access 2026

Performance of Classical and Fuzzy MPPT Controllers in PV Pumping Systems under Fast Weather Variations

This study examines four MPPT strategies for a solar pumping application subjected to rapid and simultaneous fluctuations in irradiance and temperature. These variations influence the torque and rotational speed of the Permanent Magnet DC (PMDC) motor. The conventional Incremental Conductance (IC) and Perturb and Obs...

Mohammed Boutaybi, Y. Khlifi, A. Hali · 0 citations
Conference Open access Aug 2026

A Comprehensive Review on Real-Time Performance Assessment & Operational Fault Monitoring in Hydromachinery

Hydromachinery is vital for clean and sustainable power generation, where reliable and efficient operation directly supports the stability of hydropower plants. To achieve this, real-time performance tracking and fault monitoring are becoming increasingly important. This review summarizes recent techniques and technolo...

Juhi Padma, Hemant J. Sagar · 0 citations
Open access Aug 2026

Adaptive control algorithms for electric drives of irrigation pumping units in the context of agricultural digitalization: bench studies and on-farm verification

The article presents the development and experimental study of adaptive control algorithms for electric drives of irrigation pumping units based on the analysis of the wattmeter diagram, i.e. the time dependence of the active power consumed by the electric drive. The algorithm provides automatic formation of a load ref...

A. Tsvetkov · 0 citations
Open access Sep 2026

Hardware-in-the-Loop Assessment of Neural MPPT Control in Photovoltaic Systems with Two-Phase Boost Conversion

Photovoltaic power conversion systems require maximum power point tracking (MPPT) strategies capable of fast dynamic response with low computational burden, while remaining reliable under variable environmental conditions. While neural-network-based methods have been widely investigated, their practical deployment is o...

Javed Jamshed, L. Becchi, M. Bindi et al. · 0 citations
Open access Oct 2026

Integrated performance analysis of solar-powered atmospheric water generators using machine learning

The integration of sustainable energy into atmospheric water harvesting offers a promising solution for supplementary water supply in off-grid and dry regions. This study investigates the performance of a hybrid photovoltaic–atmospheric water generator (PV-AWG) system and evaluates machine learning (ML) models for pred...

Ahmad Rizal Sultan, Maya Itasari, Muhdalifah Muhtar et al. · 0 citations
Open access Aug 2026

Design of Resilient Renewable-Fed Microgrid Using ANFIS-Based MPPT Control and Adaptive Power Management with Voltage Stability Enhancement

This paper presents the design, control, and validation of a solar photovoltaic (PV)-powered DC microgrid (MG) integrated with a battery energy storage system (BESS), which was studied at laboratory scale as a step towards remote electrification in resource-constrained regions. An Adaptive Neuro-Fuzzy Inference System...

Mohammad Kamruzzaman Khan Prince, Md. Rimon Hossain, Md. Rashedul Islam et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.