This chapter explores practical applications of speed control and energy efficiency in switched reluctance motors (SRMs). Three distinct methodologies are investigated: speed control with fixed switching angles, fixed excitation voltage, and dynamic switching angles. The control is implemented using hybrid algorithm-optimized PID controllers (GA-QNM) to minimize speed error, maximize energy efficiency, and reduce power consumption. The dynamic angle methodology stands out, showing significant improvements in energy efficiency, reaching \(76.9\%\) under load conditions. The experimental results validate the simulated models, demonstrating a minimal deviation between the simulated and real-world data. Case studies illustrate that dynamic approaches outperform conventional methods, ensuring greater stability across a wide operational range, even under highly nonlinear conditions. The findings emphasize the feasibility of applying the proposed methodologies to experimental setups for practical validation and comparative analysis.