Improving Performance of Metaheuristic - Based Optimization Strategies: A Typical Application for PID-Family-Type Fuzzy Logic Controllers
| International Journal of Electrical and Electronics Engineering |
| © 2025 by SSRG - IJEEE Journal |
| Volume 12 Issue 4 |
| Year of Publication : 2025 |
| Authors : Ngoc-Khoat Nguyen |
10.14445/23488379/IJEEE-V12I4P125
How to Cite?
Ngoc-Khoat Nguyen, "Improving Performance of Metaheuristic - Based Optimization Strategies: A Typical Application for PID-Family-Type Fuzzy Logic Controllers," SSRG International Journal of Electrical and Electronics Engineering, vol. 12, no. 4, pp. 308-316, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I4P125
Abstract:
This paper proposes a novel hybrid metaheuristic optimization technique to accelerate convergence speed. The proposed method effectively reduces convergence time and mitigates premature convergence by employing a rapid auxiliary optimization algorithm to generate an informed initial population. This innovative approach is implemented within two prominent bio-inspired algorithms, Particle Swarm Optimization (PSO) and the Bat Algorithm (BA). Specifically, the BA, known for its rapid convergence, is incorporated into the PSO's initialization stage, resulting in a substantial reduction in convergence duration. This efficient hybrid optimization strategy is applied to designing a PID-type Fuzzy Logic Controller (FLC), optimizing critical parameters, including scaling factors, membership functions, and fuzzy rules. The methodology is rigorously analyzed theoretically and through its application to the challenging nonlinear Ball and Beam (B&B) system. Extensive simulation studies encompassing a variety of operational scenarios demonstrate the superior control performance achieved over several conventional controllers, highlighting the practical applicability of the proposed hybrid control strategy.
Keywords:
Metaheuristic-based optimization, Convergence time, Hybrid integration, Initialization, PID family–type FLC.
References:
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