Design of Networked Control Systems Using the Fuzzy Inverse Model

This paper has proposed a novel design for networked control systems by using fuzzy inverse model. First, a fuzzy clustering model has been designed according to the fully excited input-output data of the controlled process. Then, an equivalent fuzzy singleton model is built on the basis of the fuzz...

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Bibliographic Details
Main Authors: Shiwen, Tong, Dianwei, Qian, Xiaoyu, Yan, Guang, Cheng, Jianjun, Fang
Format: Conference Proceeding
Language:English
Subjects:
fuzzy cluster modeling
fuzzy singleton model
inversion method
Networked control
time delay
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Summary:This paper has proposed a novel design for networked control systems by using fuzzy inverse model. First, a fuzzy clustering model has been designed according to the fully excited input-output data of the controlled process. Then, an equivalent fuzzy singleton model is built on the basis of the fuzzy clustering model. Once the fuzzy singleton model satisfying the invertibility condition, the inverse mapping for the control action can be easily obtained. And then the sequence of the future control actions are deduced by iteration. These control actions are packed and sent from controller side to the plant side. Thus, time delays in the forward channel could be actively compensated by selecting appropriate control actions from the received control sequences in the plant side. However, the difference between the fuzzy singleton model and the actual process can bring some steady errors. Fortunately, the errors can be overcome by the internal model control strategy. Simulations demonstrate the validity of the proposed method.
ISSN:2161-2927
DOI:10.23919/ChiCC.2018.8482867