Design of the Control System for Thermal Treatment via Fuzzy Logic PID

The combination of cryosurgery and hyperthermia treatment has been demonstrated to be more efficient to destroy tumor tissue. A cryosurgery-hyperthermia system is designed by our group. However, the precise control of the system is difficult due to the integration. In this paper, a novel control system is proposed to ensure that the thermal system works effectively. First, the tissue temperature around the probe is regulated and kept in a desired range when radio frequency ablation is operated. Second, precise control of temperature is achieved in hyperthermia treatment using fuzzy logic PID type controller. The results of ex vivo liver experiment demonstrate that this system could provide a rather good performance with the proposed control method.

[1]  Ping Liu,et al.  Immunological Response Induced by Alternated Cooling and Heating of Breast Tumor , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Daishi Takahashi,et al.  A Study for Cryosurgery-Hyperthermia Treatment System , 2008 .

[3]  Masayoshi Tomizuka,et al.  Fuzzy gain scheduling of PID controllers , 1993, IEEE Trans. Syst. Man Cybern..

[4]  Jianqi Sun,et al.  A New Thermal System for Tumor Treatment , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[5]  A. Gage,et al.  Destruction of hepatic and splenic tissue by freezing and heating. , 1982, Cryobiology.

[6]  Yazhu Chen,et al.  Power controlling strategy for cryosurgery & RF alternating thermal therapy system , 2008, 2008 International Conference on Information Technology and Applications in Biomedicine.

[7]  Seydi Vakkas Üstün,et al.  Optimal tuning of PI coefficients by using fuzzy-genetic for V/f controlled induction motor , 2008, Expert Syst. Appl..

[8]  Seema Chopra,et al.  Auto Tuning of Fuzzy PI Type Controller Using Fuzzy Logic , 2008 .

[9]  Hung-Yuan Chung,et al.  A PID type fuzzy controller with self-tuning scaling factors , 2000, Fuzzy Sets Syst..

[10]  S. Goldberg,et al.  Hybrid radiofrequency and cryoablation device: preliminary results in an animal model. , 2004, Journal of vascular and interventional radiology : JVIR.