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A practical approach for Generalized Predictive Control within an event-based framework
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DOI：10.1016/j.compchemeng.2012.03.003.png)
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This work presents a combination of the Generalized Predictive Control (GPC) algorithm with event-based sampling techniques. The proposed control scheme preserves all well-known individual advantages of GPC and event-based sampling algorithms, respectively. The main benefits of this combination are an important reduction of actuation load meanwhile the control system performance is maintained within an acceptable level. Guidelines for a tuning procedure are given and tested for a wide set of industrial process models. Furthermore, the resulting algorithm is simple to be implemented and allows to establish a tradeoff between control performance and the number of actuations. The performance of the proposed control algorithm is first verified for a first-order plus delay process and afterwards it is evaluated by using a case study based on the greenhouse temperature control problem. (c) 2012 Elsevier Ltd. All rights reserved.
Keyword:
Event-based control
Model predictive control
Generalized Predictive Control
Process control
Level crossing sampling conversation
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3.9
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