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This study introduces a solar-powered water pumping system driven by a BLDC motor, focusing on the development of a Proportional-Integral-Derivative controller for Maximum Power Point Tracking in photovoltaic systems under dynamic solar intensity and temperature conditions. The research establishes a control scheme for a BLDC-based solar water pump and employs MATLAB simulations to compare various techniques for extracting energy from the PV system to power the motor. Notably, the PID controller gains are optimized using a Whale Optimization Algorithm. The performance evaluation highlights the superior efficiency of the WOA-tuned PID controller compared to the Perturb and Observe method. The comprehensive investigation suggests that the proposed controller represents a promising MPPT approach with high tracking efficiency.

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A Sustainable Enhanced MPPT Approach with Whale Optimization Algorithm (WOA) Tuned PID Control for Solar Water Pumping

  • 会议论文

  • 发表日期：

    2025年

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  • Vishal Srivastava,
  • Anuj Rawat

摘要

This study introduces a solar-powered water pumping system driven by a BLDC motor, focusing on the development of a Proportional-Integral-Derivative controller for Maximum Power Point Tracking in photovoltaic systems under dynamic solar intensity and temperature conditions. The research establishes a control scheme for a BLDC-based solar water pump and employs MATLAB simulations to compare various techniques for extracting energy from the PV system to power the motor. Notably, the PID controller gains are optimized using a Whale Optimization Algorithm. The performance evaluation highlights the superior efficiency of the WOA-tuned PID controller compared to the Perturb and Observe method. The comprehensive investigation suggests that the proposed controller represents a promising MPPT approach with high tracking efficiency.