Hybrid PSO-Tuned Fractional-Order Control with Rule-Based Adaptive Supervision for Embedded Thermoelectric Temperature Regulation

Fractal and Fractional 2026 Open access

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Authors: Miguel F. Ferrer Pareja, Carlos Sánchez Morales, Federico León Zerpa, Alejandro Ramos Martín
DOI: 10.3390/fractalfract10040238
Cited by: 1
References: 17

Abstract

Thermal regulation using Peltier cells presents challenges due to high inertia, memory effects, and energy constraints in embedded systems. This paper introduces the FOPID with Adaptive Supervisor (FOPID-AS) scheme, combining a PSO-optimized fractional-order controller (FOPID) with a deterministic rule-based gain-scheduling supervisor. Experimental validation compares four strategies: PID, Fuzzy-PID, static FOPID, and the proposed FOPID-AS. During the transient phase (t

Fields of Study & Subjects

Advanced Control Systems Design Advanced Thermoelectric Materials and Devices Fuzzy Logic and Control Systems

Publication details

Journal / source
Fractal and Fractional
Publisher
MDPI AG
Volume
10
Issue
4
Pages
238–238
Publication date
3 April 2026
Language
EN