Comparison of Proportional Control and Fuzzy Logic Control to Develop an Ideal Thermoelectric Renal Hypothermia System
In this study, a comparison of two control methods,
Proportional Control (PC) and Fuzzy Logic Control (FLC), which
have been used to develop an ideal thermoelectric renal hypothermia
system in order to use in renal surgery, has been carried out. Since
the most important issues in long-lasting parenchymatous renal
surgery are to provide an operation medium free of blood and to
prevent renal dysfunction in the postoperative period, control of the
temperature has become very important in renal surgery. The final
product is seriously affected from the changes in temperature,
therefore, it is necessary to reach some desired temperature points
quickly and avoid large overshoot. PIC16F877 microcontroller has
been used as controller for both of these two methods. Each control
method can simply ensure extra renal hypothermia in the targeted
way. But investigation of advantages and disadvantages of every
control method to each other is aimed and carried out by the
experimental implementations. Shortly, investigation of the most
appropriate method to use for development of system and that can be
applied to people safely in the future, has been performed. In this
sense, experimental results show that fuzzy logic control gives out
more reliable responses and efficient performance.
[1] Laven, B.A.; Kasza K.E.; Rapp D.E.; Orvieto M. A.; Lyon M.B.; Oras
J.J.; Beisert D. G.; Hoekt T.L.V.; Son H.; Shalhav A.L. A pilot study of
ice-slurry application for inducing laparoscopic renal hypothermia, BJU
International. 2006, 99 (1), 166-170.
[2] Işık, H.; Sert, U.; Yavru, N.; Allahverdi, N. Microcontroller Based
Hypothermia System. Proceedings of the International Conference on
Computer Systems and Technologies-CompSysTech-07, June 14 - 15,
Rousse, Bulgaria , 2007
[3] Ramani, A.P.; Ryndin, I.; Lynch, A.C.; Veetil, R.T.P. Current concepts
in achieving renal hypothermia during laparoscopic partial nephrectomy.
Brit. J. Urol. Intl. 2006,97 (2), 342-344.
[4] Is─▒k, H. A New Microcontroller Supervised Thermoelectric Renal
Hypothermia System. J. Med. Syst. 2005, 29 (5), 1-10.
[5] Lin, C.J. A GA-based neural fuzzy system for temperature control,
Fuzzy Sets and Systems. 2004, 143 (2), 311-333.
[6] Wilkinson, J. Additional Advances in Fuzzy Logic Temperature Control
Conf. Record of the 1995 IEEE Ind. Applic. Conf. 1995, 3, 2721-2725.
[7] Ward, J.P. Determination of the optimal temperature for regional renal
hypothermia during temporary renal ischemia. Brit. J. Urol. 1975, 47,
17-24.
[8] Cockett, A.T.;The kidney and regional hypothermia. Surgery. 1961, 50,
905-910.
[9] Wakabayashi, Y.; Narita, M.; Kim, C.J. Renal hypothermia using ice
slush for retroperitoneal laparoscopic partial nephrectomy. Urology.
2004, 63, 773-775.
[10] Yasin, F. M.; Tio, A.; Islam, M.S.; Reaz, M. I.; Suleiman, M.S. The
Hardware Design of Temperature Controller Based on Fuzzy Logic for
Industrial Application, Employing FPGA. Microelectronics 2004, ICM
2004 Proceedings. The 16th International Conference on, IEEE, 2004,
157-160.
[11] Ogata K. Modern Control Engineering; 3rd ed. Prentice - Hall Inc:
Upper Saddle River, New Jersey, 1997; 215 pp.
[12] Zhiqiang, G.; Trautzsch, T.A.; Dawson, J.G. A stable self-tuning fuzzy
logic control system for industrial temperature regulation. IEEE Ind.
Applic. Conf. 2001, 2, 1232 - 1240.
[13] Li, X.; Shen, H.W. Adaptive volume rendering using fuzzy logic
control. Proceeding of Joint Eurographics - IEEE TCVG symposium on
visualization, Springer, Berlin, 2001.
[14] Kim, S. C.; Seo, H. W.; Han, H. S.; Khatib, O. Fuzzy Logic Control of
A Robot Manipulator Based on Visual Servoing. Industrial Electronics,
2001.Proceedings. ISIE 2001. IEEE International Symposium on, June
12-16, 2001, 3,1597 - 1602.
[15] Is─▒k, H.; Saracoglu, E; Guler, I. Design of Fuzzy Logic Controlled
Thermoelectric Renal Hypothermia System. Instrumentation Science &
Technology. 2008, 36(1), 310 - 322.
[1] Laven, B.A.; Kasza K.E.; Rapp D.E.; Orvieto M. A.; Lyon M.B.; Oras
J.J.; Beisert D. G.; Hoekt T.L.V.; Son H.; Shalhav A.L. A pilot study of
ice-slurry application for inducing laparoscopic renal hypothermia, BJU
International. 2006, 99 (1), 166-170.
[2] Işık, H.; Sert, U.; Yavru, N.; Allahverdi, N. Microcontroller Based
Hypothermia System. Proceedings of the International Conference on
Computer Systems and Technologies-CompSysTech-07, June 14 - 15,
Rousse, Bulgaria , 2007
[3] Ramani, A.P.; Ryndin, I.; Lynch, A.C.; Veetil, R.T.P. Current concepts
in achieving renal hypothermia during laparoscopic partial nephrectomy.
Brit. J. Urol. Intl. 2006,97 (2), 342-344.
[4] Is─▒k, H. A New Microcontroller Supervised Thermoelectric Renal
Hypothermia System. J. Med. Syst. 2005, 29 (5), 1-10.
[5] Lin, C.J. A GA-based neural fuzzy system for temperature control,
Fuzzy Sets and Systems. 2004, 143 (2), 311-333.
[6] Wilkinson, J. Additional Advances in Fuzzy Logic Temperature Control
Conf. Record of the 1995 IEEE Ind. Applic. Conf. 1995, 3, 2721-2725.
[7] Ward, J.P. Determination of the optimal temperature for regional renal
hypothermia during temporary renal ischemia. Brit. J. Urol. 1975, 47,
17-24.
[8] Cockett, A.T.;The kidney and regional hypothermia. Surgery. 1961, 50,
905-910.
[9] Wakabayashi, Y.; Narita, M.; Kim, C.J. Renal hypothermia using ice
slush for retroperitoneal laparoscopic partial nephrectomy. Urology.
2004, 63, 773-775.
[10] Yasin, F. M.; Tio, A.; Islam, M.S.; Reaz, M. I.; Suleiman, M.S. The
Hardware Design of Temperature Controller Based on Fuzzy Logic for
Industrial Application, Employing FPGA. Microelectronics 2004, ICM
2004 Proceedings. The 16th International Conference on, IEEE, 2004,
157-160.
[11] Ogata K. Modern Control Engineering; 3rd ed. Prentice - Hall Inc:
Upper Saddle River, New Jersey, 1997; 215 pp.
[12] Zhiqiang, G.; Trautzsch, T.A.; Dawson, J.G. A stable self-tuning fuzzy
logic control system for industrial temperature regulation. IEEE Ind.
Applic. Conf. 2001, 2, 1232 - 1240.
[13] Li, X.; Shen, H.W. Adaptive volume rendering using fuzzy logic
control. Proceeding of Joint Eurographics - IEEE TCVG symposium on
visualization, Springer, Berlin, 2001.
[14] Kim, S. C.; Seo, H. W.; Han, H. S.; Khatib, O. Fuzzy Logic Control of
A Robot Manipulator Based on Visual Servoing. Industrial Electronics,
2001.Proceedings. ISIE 2001. IEEE International Symposium on, June
12-16, 2001, 3,1597 - 1602.
[15] Is─▒k, H.; Saracoglu, E; Guler, I. Design of Fuzzy Logic Controlled
Thermoelectric Renal Hypothermia System. Instrumentation Science &
Technology. 2008, 36(1), 310 - 322.
@article{"International Journal of Information, Control and Computer Sciences:64452", author = "Hakan Işık and Esra Saraçoğlu", title = "Comparison of Proportional Control and Fuzzy Logic Control to Develop an Ideal Thermoelectric Renal Hypothermia System", abstract = "In this study, a comparison of two control methods,
Proportional Control (PC) and Fuzzy Logic Control (FLC), which
have been used to develop an ideal thermoelectric renal hypothermia
system in order to use in renal surgery, has been carried out. Since
the most important issues in long-lasting parenchymatous renal
surgery are to provide an operation medium free of blood and to
prevent renal dysfunction in the postoperative period, control of the
temperature has become very important in renal surgery. The final
product is seriously affected from the changes in temperature,
therefore, it is necessary to reach some desired temperature points
quickly and avoid large overshoot. PIC16F877 microcontroller has
been used as controller for both of these two methods. Each control
method can simply ensure extra renal hypothermia in the targeted
way. But investigation of advantages and disadvantages of every
control method to each other is aimed and carried out by the
experimental implementations. Shortly, investigation of the most
appropriate method to use for development of system and that can be
applied to people safely in the future, has been performed. In this
sense, experimental results show that fuzzy logic control gives out
more reliable responses and efficient performance.", keywords = "renal hypothermia, renal cooling, temperature control,proportional control fuzzy logic control", volume = "4", number = "8", pages = "1375-8", }