Fuzzy Logic Controller Optimization Based on PSO and BBO for Quadruple Tank System

Akka Ali; Nouibat Wahid; Barkat Said

doi:10.15866/iremos.v8i5.7634

Fuzzy Logic Controller Optimization Based on PSO and BBO for Quadruple Tank System

Akka Ali^(1*), Nouibat Wahid⁽²⁾, Barkat Said⁽³⁾

^(*) Corresponding author

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DOI: https://doi.org/10.15866/iremos.v8i5.7634

Abstract

In this paper, an optimal fuzzy logic controller (FLC) for Quadruple Tank System (QTS) is proposed. Two bio-inspired optimization methods: Particle Swarm Optimization (PSO) and Biogeography Based optimization (BBO) are employed to adjust the parameters of the membership functions (MFs) in order to enhance the capability of traditional FLC. Simulation results confirm the effectiveness of the proposed control methods, and show the advantages of the optimized fuzzy logic controller.
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Keywords

Biogeography Based Optimization; Fuzzy Logic Controller; Particle Swarm Optimization; Quadruple Tank System

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