Permanent Magnet Synchronous Generator Control with Inductive Load Integration

Control of permanent magnet synchronous generator (PMSG) systems has gained significant importance in renewable energy research and applications. To enhance PMSG system efficiency and operational performance, developing precise and reliable mathematical models is essential. Our implementation includes a custom-built PMSG model designed with MATLAB/Simulink that incorporates advanced control algorithms for optimal power generation. The model architecture employs vector control techniques with dq-axis current regulation, enabling seamless integration of inductive loads into the power generation system. Key implemented functions include maximum power point tracking (MPPT) algorithms for variable speed applications and PI controllers for maintaining stable voltage output under varying load conditions. This PMSG model has been extensively validated for applications in wind turbine systems and small-scale hydroelectric plants. The control strategy ensures high-quality power generation that meets grid connectivity standards through proper synchronization and harmonic mitigation techniques. Implementation details include Clarke/Park transformations for reference frame conversions and space vector pulse width modulation (SVPWM) for inverter control. As global demand for renewable energy continues to escalate, refined PMSG control methodologies become increasingly vital for achieving sustainable energy solutions. The model provides a foundation for researchers and engineers to simulate and optimize generator performance under different operational scenarios.