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<p>This paper presents the design, simulation, and experimental validation of a single-stage inverter system with integrated maximum power point tracking (MPPT) for solar-powered agricultural irrigation. The proposed system eliminates the need for an intermediate DC–DC converter by embedding MPPT directly into the inverter control logic, thereby reducing cost and complexity. Two widely used MPPT algorithms, Perturb and Observe (P&amp;O) and Incremental Conductance, were implemented together with scalar voltage/frequency and field-oriented control (FOC) techniques for driving a 1&#xa0;kW three-phase induction motor coupled to a submersible pump. The control algorithms were developed in PSIM and implemented on a TMS320F28335 DSP platform using space vector pulse width modulation for inverter switching. Both simulations and hardware tests were conducted under variable irradiance conditions (500–700–800–1000&#xa0;W/m<sup>2</sup>). Results demonstrate that the IC–FOC combination achieved the highest efficiency and stability, while P&amp;O–FOC offered effective power tracking at lower switching frequencies, reducing losses. The findings confirm that compact, single-stage PV inverter systems can deliver reliable and efficient irrigation performance, making them suitable for cost-sensitive rural and off-grid applications.</p>

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Design and implementation of a single-stage MPPT-based inverter system for solar-powered agricultural irrigation

  • 期刊论文

  • 发表日期：

    2025年11月25日

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  • M. Çayır,
  • H. Özbay

摘要

This paper presents the design, simulation, and experimental validation of a single-stage inverter system with integrated maximum power point tracking (MPPT) for solar-powered agricultural irrigation. The proposed system eliminates the need for an intermediate DC–DC converter by embedding MPPT directly into the inverter control logic, thereby reducing cost and complexity. Two widely used MPPT algorithms, Perturb and Observe (P&O) and Incremental Conductance, were implemented together with scalar voltage/frequency and field-oriented control (FOC) techniques for driving a 1 kW three-phase induction motor coupled to a submersible pump. The control algorithms were developed in PSIM and implemented on a TMS320F28335 DSP platform using space vector pulse width modulation for inverter switching. Both simulations and hardware tests were conducted under variable irradiance conditions (500–700–800–1000 W/m2). Results demonstrate that the IC–FOC combination achieved the highest efficiency and stability, while P&O–FOC offered effective power tracking at lower switching frequencies, reducing losses. The findings confirm that compact, single-stage PV inverter systems can deliver reliable and efficient irrigation performance, making them suitable for cost-sensitive rural and off-grid applications.