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

[EN] 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 PI...

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Detalhes bibliográficos
Autores: Faria, Rafael Mendes, Rodrigues Fleury Rosa, Suelia de Siqueira, Marcelino de Almeida Nunes, Gustavo Adolfo, Santos, Klériston Silva, Pissinati de Souza, Rafael, Ibarra Benavides, Angie Daniela, de Oliveira Alves, Angélica Kathariny, Almeida da Silva, Ana Karoline, Fabrício Rosa, Mario, de Anicesio Cardoso, Antonio Aureliano, de Sousa Faria, Sylvia, Ferreira da Rocha, Adson, dos Santos, Icaro, Berjano, Enrique|||0000-0002-3247-2665, González-Suárez, Ana|||0000-0002-1813-4176
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/220423
Acesso em linha:https://riunet.upv.es/handle/10251/220423
Access Level:acceso abierto
Palavra-chave:Radiofrequency Ablation (RFA)
Liver tumors
Particle Swarm Optimization (PSO)
PID parameters
Descrição
Resumo:[EN] 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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