A fuzzy radon replenishment control method based on Takagi-Sugeno model

Shumin Zhou; Bin Tang; Fangdong Tang; Zhenji Wang; Jun Zhang

doi:10.1117/12.807400

13 October 2008 A fuzzy radon replenishment control method based on Takagi-Sugeno model

Shumin Zhou, Bin Tang, Fangdong Tang, Zhenji Wang, Jun Zhang

Proceedings Volume 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration; 71291D (2008) https://doi.org/10.1117/12.807400
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

As a kind of radioactive gas, radon has the characteristics of radioactive decay and statistical fluctuation. The radon concentration is always in a dynamic changing process, it is difficult to implement the accurate control. In order to make the radon chamber keep a stability radon concentration, a fuzzy radon replenishment control model based on Takagi-Sugeno model is proposed. According to the idea of Takagi-Sugeno model, a two-dimensional fuzzy controller include two inputs and single output is designed. The input variables of this fuzzy controller is E and EC, E is the deviation between the actual concentration and expected radon concentration, EC is the change rate of radon concentration. the output variable of controller is U that used to control the valve of radon source. The fuzzy control rule of radon concentration is build by reasoning machine. The accurate control output variable is obtained by anti-fuzzy method and be used to control the valve state radon source. A radon chamber control system is developed by Labview based on the fuzzy control model. The experimental results show that the fuzzy control method improve the robustness of dynamic radon replenishment.

Citation Download Citation

Shumin Zhou, Bin Tang, Fangdong Tang, Zhenji Wang, and Jun Zhang "A fuzzy radon replenishment control method based on Takagi-Sugeno model", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71291D (13 October 2008); https://doi.org/10.1117/12.807400

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KEYWORDS

Radon

Fuzzy logic

Control systems

Systems modeling

Affine motion model

Calibration

Complex systems

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