2021/10/26 by Hussein Zolfaghari, Zolfaghari, Hussein, Hossein Karimi +3
Engineering · #FOS: Electrical engineering #Multilevel Inverters and Converters #Real-time simulation and control systems #Sensorless Control of Electric Motors #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2110.13817
openalex publication_date 2021/10/26 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
This paper presents a new real-time intelligent optimization algorithm to minimize the voltage harmonics of a multilevel inverter. Hybrid Genetic algorithm /Particle swarm optimization algorithm is employed in a real-time simulation to identify the best fire angels of the multilevel inverter to eliminate any destructive effect, such as dc voltage variations and changes in line and dc-link resistors. The dual objective function of harmonic minimization and voltage regulation is considered in this real-time simulation. This approach can be applied to any multilevel inverter with various numbers of levels. The validity of the proposed algorithm is proven by real-time simulation of seven and an eleven-level inverter.