Leong Y F, M. Nasir N, Ab-Ghani S, Jaalam N, Ramlan N H. Online-Tuning Fuzzy Logic Controller Based Particle Swarm Optimization Proportional-Integral (FLC-PSO-PI) For Multilevel Inverter of Output Voltage Regulation. IJEEE 2025; 21 (2) :3614-3614
URL:
http://ijeee.iust.ac.ir/article-1-3614-en.html
Abstract: (155 Views)
This paper focuses on the application of a cascaded multilevel inverter, specifically the 5-level multilevel inverter, utilizing a proposed controller known as the FLC-PSO-PI controller. The primary challenge addressed in this research is the precise regulation of output voltage in the multilevel inverter during load variations while meeting voltage harmonic and transition requirements as per industry standards, which are the 10 % voltage limit recommended by IEC and 8 % of total harmonic distortion (THD) by IEEE. An innovative solution is proposed by integrating PSO and FLC to dynamically adapt the controller in real-time, ensuring stable and accurate output voltage regulation. The proposed controller is designed and simulated using MATLAB/Simulink, and its performance is compared with PSO-PI and no controller under various load conditions. The results demonstrate that the FLC-PSO-PI controller significantly enhances output voltage regulation were achieving the desired peak voltage and low THD across different load scenarios, including half load to full load (0.8 %) and no load to full load (0.89 %). Furthermore, the FLC-PSO-PI controller exhibits superior transient response characteristics, such as reduced overshooting (2.89 %), faster rise time at 36.946 µs, and satisfactory settling time at 151.014 µs. This research contributes to the advancement of multilevel inverter technology and its potential applications in renewable energy systems, motor drives, and grid-connected devices. The proposed FLC-PSO-PI controller offers a promising solution for precise voltage regulation in multilevel inverters, enhancing their performance and enabling widespread adoption in various industrial sectors.
Type of Study:
Only For Articles of ELECRiS 2024 |
Subject:
Heuristics and Metaheuristics Received: 2024/12/17 | Revised: 2025/03/25 | Accepted: 2025/02/22