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Structure and stability analysis of a Takagi–Sugeno fuzzy PI controller with application to tissue hyperthermia therapy
被引：13
作者：
Y. Ding
H. Ying
S. Shao
机构：
[1] Department of Physiology and Biophysics,
[2] Biomedical Engineering Center,undefined
[3] The University of Texas Medical Branch,undefined
[4] Galveston,undefined
[5] TX 77555-0456,undefined
[6] USA Tel.: 409 772 8415; fax: 409 772 0751; e-mail: hying@utmb. edu,undefined
[7] Department of Electrical Engineering,undefined
[8] China Textile University,undefined
[9] Shanghai,undefined
[10] 200051,undefined
[11] People’s Republic of China,undefined
关键词：
Fuzzy Controller;
Global Stability;
Fuzzy Control System;
Small Gain Theorem;
Hyperthermia Therapy;
D O I：
10.1007/s005000050051
中图分类号：
学科分类号：
摘要：
In this paper, we first reveal the analytical structure of a simple Takagi–Sugeno (TS) fuzzy PI controller relative to the linear PI controller. The fuzzy controller consists of two linear input fuzzy sets, four TS fuzzy rules with linear consequent, Zadeh fuzzy logic AND and the centroid defuzzifier. We prove that the fuzzy controller is actually a nonlinear PI controller with the gains changing with process output. Utilizing the well-known small Gain Theorem in control theory, we then derive sufficient conditions for global stability of the fuzzy control systems involving the TS fuzzy PI controller. Finally, as an application demonstration, we apply the fuzzy PI controller to control issue temperature, in computer simulation, during hyperthermia therapy. The relationship between heat energy and tissue temperature is represented by a linear time-varying model with a time delay. The sufficient conditions for global stability are used to design a stable fuzzy control system. Our simulation results show that the fuzzy PI control system achieves satisfactory temperature control performance. The control system is robust and stable even when the model parameters are changed suddenly and significantly.
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页码：183 / 190
页数：7
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