Citation

Musa, Zulkifli and Suid, Mohd Helmi and Ahmad, Mohd Ashraf and Ab Aziz, Nor Azlina and Mohd Tumari, Mohd Zaidi and Tsuboi, Yusei (2025) Cubature Kalman Optimizer with Fixed Neighborhood Radius for AVR System. In: 13th IEEE Conference on Systems, Process and Control, ICSPC 2025, 5 December 2025 - 6 December 2025, Melaka.

Text IEEE Xplore Full-Text PDF_23.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

This paper presents the Cubature Kalman Optimizer (CKO) as a novel approach for tuning the proportional–integral– derivative (PID) controller parameters in an automatic voltage regulator (AVR) system. The proposed method employs the Cubature Transformation Technique (CTT) to perform a multipoint search within a dynamically controlled local neighborhood. In each trial, the neighborhood radius is kept constant throughout all iterations but systematically varied between trials, enabling the algorithm to balance exploration and exploitation effectively. By generating multiple candidate solutions through cubature propagation, CKO achieves rapid and precise convergence toward optimal PID parameters. The performance of the proposed PIDCKO controller is validated through time-domain simulations, demonstrating superior transient response, faster settling time, and improved robustness compared with PID controllers tuned using Sine Cosine Algorithm (SCA), Biogeography-Based Optimization (BBO), Artificial Bee Colony (ABC), Differential Evolution (DE), and the classical Ziegler–Nichols (ZN) method.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Metaheuristic algorithm
Subjects:	Q Science > QA Mathematics > QA101-(145) Elementary mathematics. Arithmetic
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	20 Apr 2026 04:50
Last Modified:	20 Apr 2026 04:50
URII:	http://shdl.mmu.edu.my/id/eprint/15793

Downloads

Edit (login required)