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Particle swarm optimization solution for roll-off control in radiofrequency ablation of liver tumors: Optimal search for PID controller tuning

Mendes Faria, Rafael
; 
de Siqueira Rodrigues Fleury Rosa, Suélia
; 
de Almeida Nunes, Gustavo Adolfo Marcelino
; 
Silva Santos, Klériston
; 
Pissinati de Souza, Rafael
; 
Ibarra Benavides, Angie Daniela
; 
de Oliveira Alves, Angélica Kathariny
; 
Almeida da Silva, Ana Karoline
; 
Fabrício Rosa, Mario
; 
de Anicêsio Cardoso, Antônio Aureliano
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https://hdl.handle.net/10379/18277
 https://doi.org/10.13025/22437

Date

2024-06-26

Keywords

Medicine , PID controller tuning , Radiofrequency Ablation (RFA) , liver tumors , Hepatocellular Carcinoma , Bio-inspired Control

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journal article

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Citation

Faria RM, Rosa SdSRF, Nunes GAMdA, Santos KS, de Souza RP, Benavides ADI, et al. (2024) Particle swarm optimization solution for roll-off control in radiofrequency ablation of liver tumors: Optimal search for PID controller tuning. PLoS ONE 19(6): e0300445. https://doi.org/10.1371/journal.pone.0300445

Abstract

The study investigates the efficacy of a bioinspired Particle Swarm Optimization (PSO) approach for PID controller tuning in Radiofrequency Ablation (RFA) for liver tumors. Ex-vivo experiments were conducted, yielding a 9th order continuous-time transfer function. PSO was applied to optimize PID parameters, achieving outstanding simulation results: 0.605% overshoot, 0.314 seconds rise time, and 2.87 seconds settling time for a unit step input. Statistical analysis of 19 simulations revealed PID gains: Kp (mean: 5.86, variance: 4.22, standard deviation: 2.05), Ki (mean: 9.89, variance: 0.048, standard deviation: 0.22), Kd (mean: 0.57, variance: 0.021, standard deviation: 0.14) and ANOVA analysis for the 19 experiments yielded a p-value ≪ 0.05. The bioinspired PSO-based PID controller demonstrated remarkable potential in mitigating roll-off effects during RFA, reducing the risk of incomplete tumor ablation. These findings have significant implications for improving clinical outcomes in hepatocellular carcinoma management, including reduced recurrence rates and minimized collateral damage. The PSO-based PID tuning strategy offers a practical solution to enhance RFA effectiveness, contributing to the advancement of radiofrequency ablation techniques.

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Publisher

Plos One

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License

CC BY

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