A model predictive controller for multirate cascade systems

Cascade control strategy is commonly employed in process control. Usually, the inner loop is run at a higher sampling rate than the outer loop to achieve an effective cascade control. We present a model predictive controller (MPC) that could handle this multirate cascade control strategy in a straig...

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Bibliographic Details
Published in2004 American Control Conference Proceedings; Volume 2 of 6 Vol. 2; pp. 1575 - 1579 vol.2
Main Authors Ling, K.V., Wu Bingfang, He Minghua, Zhang Yu
Format Conference Proceeding Journal Article
LanguageEnglish
Published Piscataway NJ IEEE 01.01.2004
Evanston IL American Automatic Control Council
Subjects
Applied sciences
Computer science; control theory; systems
Control design
Control system synthesis
Control systems
Control theory. Systems
Exact sciences and technology
Helium
Open loop systems
Predictive control
Predictive models
Process control
Process control. Computer integrated manufacturing
Sampling methods
State-space methods
Velocity control
Model predictive control
Process control
Sampling rate
Cascade control
Control synthesis
Multirate system
Cascade systems
Modeling
Predictive control
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Summary:Cascade control strategy is commonly employed in process control. Usually, the inner loop is run at a higher sampling rate than the outer loop to achieve an effective cascade control. We present a model predictive controller (MPC) that could handle this multirate cascade control strategy in a straightforward manner. There is only one controller to be designed, thus reducing the complexity of tuning the cascade control system. An illustrative example is presented to demonstrate the effectiveness of the proposed control design method.
Bibliography:SourceType-Scholarly Journals-2
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ObjectType-Conference Paper-1
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SourceType-Conference Papers & Proceedings-1
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ISBN:9780780383357
0780383354
ISSN:0743-1619
2378-5861
DOI:10.23919/ACC.2004.1386801