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Solar PV Fed BLDC Motor for Air Cooler Application in MATLAB

Solar PV Fed BLDC Motor for Air Cooler Application in MATLAB


The integration of solar photovoltaic (PV) systems into various applications, such as air coolers, presents an opportunity to harness renewable energy for sustainable operation. We explore the simulation model of a solar PV-driven motor for air cooler applications using Simulink. The primary focus is on optimizing the system's performance by varying the solar radiation levels and tuning the controller parameters. By leveraging Simulink's capabilities, we aim to analyze the impact of changing radiation levels on the PV system's output and motor performance.

Simulation Model Overview: The Simulink model comprises several components, including PV panels, a boost converter, and a BLDC motor, designed to drive an air cooler. The model allows for the simulation of varying solar radiation levels to analyze their effect on system performance. Key parameters, such as solar radiation levels and controller settings, can be adjusted to optimize the system's operation under different environmental conditions.

Solar Radiation Variation: The simulation scenario involves varying solar radiation levels to assess their impact on PV system output and motor performance. The simulation model allows for the adjustment of radiation levels from 0 to 1000 watts per square meter, simulating different environmental conditions. By changing the radiation levels, we can observe how the PV system responds and extracts maximum power from the available solar energy.

PV Panel and Boost Converter Operation: The PV panel's output power and voltage are measured and fed into a boost converter, which regulates the voltage to drive the BLDC motor efficiently. The boost converter's duty cycle is controlled using a maximum power point tracking (MPPT) algorithm, ensuring optimal power extraction from the PV panels under varying radiation levels. By analyzing the boost converter's output voltage and current, we can assess its performance in converting solar energy into usable electrical power.

BLDC Motor Control: The BLDC motor's speed and torque are monitored to evaluate its performance in driving the air cooler. By varying the solar radiation levels and observing the motor's response, we can optimize the motor's operation for different environmental conditions. Additionally, feedback control mechanisms, such as speed and torque sensors, ensure the motor operates within specified performance parameters, enhancing overall system efficiency.

Conclusion: In conclusion, the simulation model of a solar PV-driven motor for air cooler applications provides valuable insights into optimizing system performance under varying environmental conditions. By adapting solar radiation levels and tuning controller parameters, engineers can enhance the efficiency and reliability of solar PV systems in real-world applications. Simulink's versatile simulation capabilities enable comprehensive analysis and optimization of renewable energy systems, paving the way for sustainable energy solutions in diverse industrial and commercial settings.

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