Intelligent control based level shifted PWM Multilevel Inverter

The Multilevel Inverter (MLI) comes in large range of levels and the study of MLI took an acceleration in recent time. MLI has wide range of use in moderate voltage and large power applications. For utilization, the inverter must satisfy the voltage requirement as desired by the load, so controlling the response of the inverter is a matter of concern. In this paper, intelligent algorithm-based Proportional Integral (PI) controller is implemented for nourishing the output response of the inverter. The Regulation of Inverter output voltage is done by minimizing the “Integral Time Absolute Error” (ITAE). Here ITAE is considered as the objective to be minimized using stochastic optimization techniques. Optimization techniques like, “Particle Swarm Optimization” (PSO), “Genetic Algorithm” (GA) and “Artificial Bee Colony” (ABC) are implemented and compared. A seven level H-Bridge based Cascaded Multi-level Inverter (HBC MLI) is simulated using “Level Shifted Pulse Width Modulation” (LS PWM) technique. ABC optimization technique proved to be better than the other techniques in terms of better fitness.