Abstract
Particle swarm optimization algorithm (PSO) is suggested to discover fractional order PID (FOPID) controller optimal variables for a better performance of induction motor. This PSO algorithm is designed to handle multiple optimization issues, due to its ease of application. A Closed Loop Quadratic Boost Converter Multilevel Inverter Fed Induction Motor (QBCMLIIM) system is simulated to earn reduced switching losses and reduced THD by incorporating particle swarm optimization(PSO) tuned Fractional Order PID controller. PSO stands to be one of the popular Artificial Intelligence (AI) method. The PSO algorithm starts its process from the initial particles by allotting initial velocities to the particles. At each location the objective function and the corresponding best values are evaluated. The double loop feedback system enhances the performance and robustness by suppressing the oscillations and overshoots.
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