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A Multiple Models Approach for Adaptive Predictive Control of Networked Control Systems | IEEE Conference Publication | IEEE Xplore

A Multiple Models Approach for Adaptive Predictive Control of Networked Control Systems


Abstract:

A real-time, self-learning, multiple models adaptive predictive control algorithm is proposed for Networked Control Systems(NCS), which can deal with different distributi...Show More

Abstract:

A real-time, self-learning, multiple models adaptive predictive control algorithm is proposed for Networked Control Systems(NCS), which can deal with different distributions of time delay introduced by a communication network or a field bus. The algorithm keeps updating the dynamic models in a model bank, and uses an adaptive model to track the parameter changes of NCS. In the mean time, it uses another adaptive model to ensure the stability of the overall NCS. The convergence analysis shows that the algorithm will finally switch to and stop at a stable, adaptive model.
Date of Conference: 24-27 August 2007
Date Added to IEEE Xplore: 05 November 2007
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Conference Location: Haikou, China
Citations are not available for this document.

1. Introduction

Recently there has been much interest in networked control systems (NCS), that is, control systems with a feed-back loop closed through a communications network or a field bus. Traditional point-to-point controller architectures are being replaced with those based on a serial communication channel because with the drop in price of microcontrollers such an architecture is less costly, more reliable, easier to maintain, and more flexible. The presence of the communication network, however, complicates the application of standard results and algorithms of control theory. The problem lies with the communication channel restricting access to the data held by the sensors; decisions must be made on old or on partial data and the intervals between updates are not regular as the network is used for many purposes besides the routing of feedback data. So there will inevitably be time delays in the communication net. As long as the sampling periods are long compared with these delays there is no need to consider the influence of the delays. As the demand on the control system increases it will be more and more important to take the delays into account in the analysis and the design of the control system. While inaccuracies, disturbances, etc., have been extensively studied in the control literature the network time delay in real-time systems have just recently attracted attention, and in the communication literature the feedback control aspect has not been treated to any larger extent. This is thus an area where much can be gained by combining ideas from the fields of control, real-time systems, and communication networks.

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Cites in Papers - IEEE (1)

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Kai Su, Qing Li, Jizhen Liu, Yuguang Niu, "Robust model based predictive controller design for NCSs with long time varying delays in feedback channels", Proceedings of the 29th Chinese Control Conference, pp.4334-4339, 2010.
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