The Fuzzy Logic Speed Controller (FLSC) is often used in motor drive applications because of its resilience and its ability to function without relying on specific plant characteristics. Nevertheless, the implementation of this approach in real-time is computationally demanding and susceptible to errors in selecting fuzzy rules, leading to system failure in the drive. This work presents an enhanced approach to the Fuzzy Logic Speed Controller (FLSC) by using precise computations of the crisp output to tackle these concerns. The first step is outlining a methodical approach for the process of reducing fuzzy rules. Next, a thorough assessment of the activated crisp output data is conducted to ascertain the prevailing fuzzy rules. According to the suggested approach, the total number of regulations was decreased. The simplified Field-Oriented Speed Control (FLSC) rule is evaluated on the Induction Motor (IM) drives system, with real-time implementation conducted in the dSPACE DS1104 controller environment. The modelling and experimental findings, using the suggested FLSC, have shown the feasibility of the reduced regulations without compromising the motor's performance.

The generation of variable energy from photovoltaic (PV) is significantly affected by unpredictable fluctuations due to weather changes. Additionally, the variability in load demand is a critical consideration for microgrid. Consequently, the implementation of an energy storage system is essential to address these challenges. This study presents a novel energy management technique (EMT) for hybrid energy storage systems (HESS). The innovative approach incorporates a low-pass filter (LPF) to optimize power distribution between batteries and supercapacitors (SC), thereby enhancing system stability and prolonging battery life. The proposed LPF-based EMT facilitates optimal power allocation, improves system stability by effectively filtering high-frequency power fluctuations, and extends battery life through reduced stress and optimized charge-discharge cycles. It developed a comprehensive system model to enable accurate simulation and analysis, supported by rigorous experimental validation that demonstrates the effectiveness of our method. This approach successfully redirects high-frequency power demands to the SC, stabilizing the DC link voltage. Comprehensive simulations indicate the system's capability, revealing quantitative improvements in battery performance and efficiency across various LPF time constants τ, representing a significant advancement in renewable energy control. The simulation results confirm that the proposed architecture and system representation achieve optimal DC link voltage stability. Furthermore, increasing the τ reduces the state of charge (SOC) of the battery, contributing to an overall increase in battery lifespan.

This paper presents a comparative study for the performance of a DC to AC converter using a new switching strategy. Precalculated switching angles are used to determine the gating signals to be applied to the semiconductor switches. The inverter performance, measured in terms of the total harmonic distortion (THD) rate, can be substantially reduced, depending on the number of commutations per period of the output voltage and the low pass filter characteristics. Both simulation and experimental results are presented for a comparison between different families of switching angles

This paper presents a novel approach to determine the switching angles of a precalculated PWM three-phase inverter, using the phase-to-phase voltage as a reference. The number of switching angles is determined so as to minimize the total harmonic distortion (THD) rate and the power switching losses. A microcontroller set up is used to validate the simulation results.