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Decentralized supervisory based switching control for uncertain multivariable plants with variable input–output pairing

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Title: Decentralized supervisory based switching control for uncertain multivariable plants with variable input–output pairing
Authors: Namaki-Shoushtari, Omid onamakis@ieee.org, Khaki-Sedigh, Ali sedigh@kntu.ac.ir
Source: ISA Transactions. Jan2012, Vol. 51 Issue 1, p132-140. 9p.
Subjects: MIMO systems, Input-output analysis software, Robust control, Switching theory, Closed loop systems, Feedback control systems
Abstract: Abstract: In this paper, the design of decentralized switching control for uncertain multivariable plants is considered. In the proposed strategy, the uncertainty region is divided into smaller regions with a nominal model and specific control structure. The underlying design is based on the quantitative feedback theory (QFT). It is assumed that a MIMO-QFT controller exists for robust stability and performance of the individual uncertain sets. The proposed control structure is made up by these local decentralized controllers, which commute among themselves in accordance with the decision of a high level decision maker called the supervisor. The supervisor makes the decision by comparing the local models’ behaviors with the one of the plant and selects the controller corresponding to the best fitted model. A hysteresis switching logic is used to slow down the switching to guarantee the overall closed loop stability. It is shown that this strategy provides a stable and robust adaptive controller to deal with complex multivariable plants with input–output pairing changes during the plant operation, which can facilitate the development of a reconfigurable decentralized control. Also, the multirealization technique is used to implement a family of controllers to achieve bumpless transfer. Simulation results are employed to show the effectiveness of the proposed method. [Copyright &y& Elsevier]
Copyright of ISA Transactions is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Decentralized supervisory based switching control for uncertain multivariable plants with variable input–output pairing
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  Data: <searchLink fieldCode="AR" term="%22Namaki-Shoushtari%2C+Omid%22">Namaki-Shoushtari, Omid</searchLink><i> onamakis@ieee.org</i><br /><searchLink fieldCode="AR" term="%22Khaki-Sedigh%2C+Ali%22">Khaki-Sedigh, Ali</searchLink><i> sedigh@kntu.ac.ir</i>
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  Data: <searchLink fieldCode="JN" term="%22ISA+Transactions%22">ISA Transactions</searchLink>. Jan2012, Vol. 51 Issue 1, p132-140. 9p.
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  Data: <searchLink fieldCode="DE" term="%22MIMO+systems%22">MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Input-output+analysis+software%22">Input-output analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Switching+theory%22">Switching theory</searchLink><br /><searchLink fieldCode="DE" term="%22Closed+loop+systems%22">Closed loop systems</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink>
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  Data: Abstract: In this paper, the design of decentralized switching control for uncertain multivariable plants is considered. In the proposed strategy, the uncertainty region is divided into smaller regions with a nominal model and specific control structure. The underlying design is based on the quantitative feedback theory (QFT). It is assumed that a MIMO-QFT controller exists for robust stability and performance of the individual uncertain sets. The proposed control structure is made up by these local decentralized controllers, which commute among themselves in accordance with the decision of a high level decision maker called the supervisor. The supervisor makes the decision by comparing the local models’ behaviors with the one of the plant and selects the controller corresponding to the best fitted model. A hysteresis switching logic is used to slow down the switching to guarantee the overall closed loop stability. It is shown that this strategy provides a stable and robust adaptive controller to deal with complex multivariable plants with input–output pairing changes during the plant operation, which can facilitate the development of a reconfigurable decentralized control. Also, the multirealization technique is used to implement a family of controllers to achieve bumpless transfer. Simulation results are employed to show the effectiveness of the proposed method. [Copyright &y& Elsevier]
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  Data: <i>Copyright of ISA Transactions is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Type: general
      – SubjectFull: Input-output analysis software
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      – SubjectFull: Robust control
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      – SubjectFull: Switching theory
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      – SubjectFull: Closed loop systems
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      – SubjectFull: Feedback control systems
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      – TitleFull: Decentralized supervisory based switching control for uncertain multivariable plants with variable input–output pairing
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              Text: Jan2012
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