This chapter investigates the application of switched reluctance machines (SRGs) in control and generation systems, highlighting strategies to optimize energy efficiency and operational stability. A methodology is introduced to validate an indirect torque detection system, demonstrating the compatibility between computational models and experimental data. Procedures such as conduction window adjustment and sensitivity analysis are performed to enhance efficiency and reduce torque ripple. The implementation of PID controllers, optimized for output voltage regulation, showcases their capability to maintain stability under load and speed variations. Additionally, tracking algorithms like MEPT are presented to dynamically adjust switching angles, maximizing efficiency and generated power. Comparisons between self-excited and independently excited models highlight the advantages and limitations of each configuration. The results indicate that the integration of tracking and control techniques significantly improves energy generation, in terms of both efficiency and stability, with potential applications in wind energy and other renewable sources.