Particle swarm optimization based proportional-integral online-tuning by fuzzy logic controller (PSOFLC-PI) for cascaded multilevel inverter different load scenarios

Leong, Ying Foo and Nur Huda, Ramlan and Suliana, Ab Ghani and Hamdan, Daniyal (2025) Particle swarm optimization based proportional-integral online-tuning by fuzzy logic controller (PSOFLC-PI) for cascaded multilevel inverter different load scenarios. In: 8th IEEE International Conference on Electrical, Control and Computer Engineering, InECCE 2025 , 27 - 28 August 2025 , Kuantan, Pahang. pp. 31-36.. ISBN 979-8-3315-2023-6 (Published)

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Abstract

This research focuses on the 5-level cascaded H-bridge multilevel inverter (CHMI), utilizing a proposed controller known as PSOFLC-PI. The exact management of the multilevel inverter's (MLI) output voltage during load changes while satisfying the voltage harmonic and transition requirements—the voltage limit suggested by IEC and THD by IEEE—is the difficulty this study attempts to address. To solve this problem, PSO and FLC are integrated to ensure accurate and steady output voltage regulation while dynamically adjusting the controller in real-time tuning. MATLAB/Simulink is used to build and simulate the suggested controller, and under different load scenarios, its performance is contrasted with that of traditional PI and PSO-based PI controllers. In a variety of load scenarios, such as nominal load, no load to full load, and nonlinear load, the findings show that the PSOFLC-PI controller greatly improves output voltage regulation, reaching the intended peak voltage, minimal THD and satisfactory settling time.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: CHMI; FLC; PI Controller; PSO; THD
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 04 Feb 2026 01:35
Last Modified: 04 Feb 2026 01:35
URI: https://umpir.ump.edu.my/id/eprint/47065
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