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Asynchronous update based networked predictive control system using a novel proactive compensation strategy
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DOI：10.1016/j.isatra.2015.08.013.png)
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Networked predictive control system (NPCS) has been proposed to address random delays and data dropouts in networked control systems (NCSs). A remaining challenge of this approach is that the controller has uncertain information about the actual control inputs, which leads to the predicted control input errors. The main contribution of this paper is to develop an explicit mechanism running in the distributed network nodes asynchronously, which enables the controller node to keep informed of the states of the actuator node without a priori knowledge about the network. Based on this mechanism, a novel proactive compensation strategy is proposed to develop asynchronous update based networked predictive control system (AUBNPCS). The stability criterion of AUBNPCS is derived analytically. A simulation experiment based on Truetime demonstrates the effectiveness of the scheme. (C) 2015 ISA. Published by Elsevier Ltd. All rights reserved.
Keyword:
Networked control systems (NCSs)
Networked predictive control
Random time delay
Data dropout
Stability
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