This paper presents the design, modeling, and control optimization of a solar station equipped with automatically folding photovoltaic (PV) modules operated by a microcontroller-based feedback system. The system performs in two modes: an opening mode that deploys the PV modules to maximize solar exposure for efficient energy harvesting, and a closing mode that retracts the modules to reduce aerodynamic drag and improve mobility. Such a dual-mode architecture makes the proposed solution suitable for compact robotic platforms and electric vehicles that require adaptive PV configurations. A complete kinematic and dynamic model of the folding mechanism is developed. A proportional–integral–derivative controller is designed and optimized to enhance response characteristics. Bode and step-response analyses confirm that the controller increases system robustness by ensuring high stability margins while maintaining rapid dynamic performance.