Design of a networked tracking control system with a data-based approach

Tracking control is a very challenging problem in the networked control system &#x0028 NCS &#x0029, especially for the process with blurred mechanism and where only input-output data are available. This paper has proposed a data-based design approach for the networked tracking control system...

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Bibliographic Details
Published in:IEEE/CAA journal of automatica sinica 2019-09, Vol.6 (5), p.1261-1267
Main Authors: Tong, Shiwen, Liu, Wei, Qian, Dianwei, Yan, Xiaoyu, Fang, Jianjun
Format: Article
Language:English
Subjects:
Clustering algorithms
Computer simulation
Control systems
Control systems design
Controllers
Data models
Delay effects
Delays
Fuzzy control
Predictive control
Predictive models
Process control
Sliding mode control
Tracking control
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Summary:Tracking control is a very challenging problem in the networked control system &#x0028 NCS &#x0029, especially for the process with blurred mechanism and where only input-output data are available. This paper has proposed a data-based design approach for the networked tracking control system &#x0028 NTCS &#x0029. The method utilizes the input-output data of the controlled process to establish a predictive model with the help of fuzzy cluster modelling &#x0028 FCM &#x0029 technology. Then, the deduced error and error change in the future are treated as inputs of a fuzzy sliding mode controller &#x0028 FSMC &#x0029 to obtain a string of future control actions. These candidate control actions in the controller side are delivered to the plant side. Thus, the network induced time delays are compensated by selecting appropriate control action. Simulation outputs prove the validity of the proposed method.
ISSN:2329-9266
2329-9274
DOI:10.1109/JAS.2018.7511093