TY - GEN
T1 - An Output-Fusion Fuzzy Logic Controller for Tumor Thermal Ablation Therapy System with Wireless Power Transfer
AU - Huang, Yen Cheng
AU - Hung, Chia Ming
AU - Tai, Cheng Chi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Tumor thermal ablation therapy is a technology that uses high temperature to rupture tumor cells by the difference in heat resistance between normal cells and tumor cells. Among them, temperature control is particularly important for tumor thermal ablation therapy system with wireless power transfer. It will cause a lot of burden on the human body by exceeding the treatment temperature required for cautery, conversely, the purpose of cautery treatment cannot be effectively achieved. In this work, an output fusion fuzzy controller is designed. It includes a traditional fuzzy controller and two controllers which is also a fuzzy controller but be optimized for specific control performance indicators. According to temperature response changing, the output fusion fuzzy controller generates three output weights which correspond with three controllers for decision fusion, and then make the final output of controller include all advantages of three controllers at the same time. According to the experimental results, the output fusion fuzzy controller is significantly better than the traditional fuzzy controller in each control performance indicators.
AB - Tumor thermal ablation therapy is a technology that uses high temperature to rupture tumor cells by the difference in heat resistance between normal cells and tumor cells. Among them, temperature control is particularly important for tumor thermal ablation therapy system with wireless power transfer. It will cause a lot of burden on the human body by exceeding the treatment temperature required for cautery, conversely, the purpose of cautery treatment cannot be effectively achieved. In this work, an output fusion fuzzy controller is designed. It includes a traditional fuzzy controller and two controllers which is also a fuzzy controller but be optimized for specific control performance indicators. According to temperature response changing, the output fusion fuzzy controller generates three output weights which correspond with three controllers for decision fusion, and then make the final output of controller include all advantages of three controllers at the same time. According to the experimental results, the output fusion fuzzy controller is significantly better than the traditional fuzzy controller in each control performance indicators.
UR - http://www.scopus.com/inward/record.url?scp=85198918853&partnerID=8YFLogxK
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U2 - 10.1109/INTERMAGShortPapers61879.2024.10577041
DO - 10.1109/INTERMAGShortPapers61879.2024.10577041
M3 - Conference contribution
AN - SCOPUS:85198918853
T3 - 2024 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2024 - Proceedings
BT - 2024 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2024
Y2 - 5 May 2024 through 10 May 2024
ER -