Dynamic Modeling and Energy Optimization of Solar Tracking Systems Using Lagrange’s Equations of Motion

It combines metadata, literature comparisons, mechanical and geometric parameters, generalized coordinates, dynamic variables, inertial, aerodynamic, irradiance, and control parameters. It also includes simulation scenarios and time-series outputs for solar position, trajectory tracking, torque, motion, wind response, actuator power, and net energy gain.

Key results compare a proposed dual-axis tracker with a fixed baseline, showing PV energy capture, tracking-energy consumption, net useful energy, and improvement percentages. Sensitivity sheets examine inertia and wind effects, while validation data compares tracking accuracy, disturbance recovery, torque, and energy performance with published studies.