Self-Constructed PMSG Model with Maximum Power Point Tracking Implementation

I have developed a self-constructed Permanent Magnet Synchronous Generator (PMSG) model that implements Maximum Power Point Tracking (MPPT) in solar energy systems. The model employs advanced control algorithms that continuously monitor system inputs, outputs, and environmental conditions to dynamically adjust generator operating parameters. Through real-time signal processing and adaptive control logic, the system maintains optimal operation at the maximum power point. This implementation utilizes perturbation and observation methods or incremental conductance algorithms in the control code to track changing conditions. Key functions include voltage-current characteristic monitoring, power calculation routines, and PWM signal generation for power converter control. This technology significantly enhances solar power generation efficiency by maximizing utilization of available solar resources through intelligent system optimization. The model's control architecture features feedback loops that process sensor data and execute decision-making algorithms to maintain peak performance under varying irradiation and temperature conditions.