PID Control for Multivariable Processes [electronic resource] / by Qing-Guo Wang, Zhen Ye, Wen-Jian Cai, Chang-Chieh Hang.

By: Wang, Qing-Guo [author.]Contributor(s): Ye, Zhen [author.] | Cai, Wen-Jian [author.] | Hang, Chang-Chieh [author.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Lecture Notes in Control and Information Sciences: 373Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008Description: online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540784821Subject(s): Engineering | Systems theory | Engineering | Control Engineering | Systems Theory, ControlAdditional physical formats: Printed edition:: No titleOnline resources: Click here to access online
Contents:
Loop Pairing Analysis -- Loop Gain Margins and Stabilizing PID Ranges -- Loop Phase Margins -- Multi-loop PID Control Based on dRI Analysis -- Multivariable PID Control Based on Dominant Pole Placement -- Optimal Multivariable PID Control Based on LMI Approach -- Multivariable PID Control for Synchronization -- Multivariable Process Identification.
In: Springer eBooksSummary: Thereare richtheories and designs for generalcontrolsystems,but usually, they will not lead to PID controllers. Noting that the PID controller has been the most popular one in industry for over ?fty years, we will con?ne our discussion hereto PIDcontrolonly. PID controlhasbeenanimportantresearchtopicsince 1950’s, and causes remarkable activities for the last two decades. Most of the existing works have been on the single variable PID control and its theory and design are well established, understood and practically applied. However, most industrial processes are of multivariable nature. It is not rare that the overall multivariable PID control system could fail although each PID loop may work well. Thus,demandforaddressingmultivariableinteractionsishighforsuccessful applicationofPIDcontrolinmultivariableprocessesanditisevidentfrommajor leading control companies who all rankedthe couplings of multivariable systems as the principal common problem in industry. There have been studies on PID control for multivariable processes and they provide some useful design tools for certaincases. But itis notedthat the existing worksaremainlyfor decentralized form of PID control and based on ad hoc methodologies. Obvious, multivariable PID control is much less understood and developed in comparison with the single variable case and actual need for industrial applications. Better theory and design have to be established for multivariable PID control to reach the same maturity and popularity as the single variable case. The present monograph puts together, in a single volume, a fairly comp- hensive, up-to-date and detailed treatment of PID control for multivariable p- cesses, from paring, gain and phase margins, to various design methods and applications.
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Loop Pairing Analysis -- Loop Gain Margins and Stabilizing PID Ranges -- Loop Phase Margins -- Multi-loop PID Control Based on dRI Analysis -- Multivariable PID Control Based on Dominant Pole Placement -- Optimal Multivariable PID Control Based on LMI Approach -- Multivariable PID Control for Synchronization -- Multivariable Process Identification.

Thereare richtheories and designs for generalcontrolsystems,but usually, they will not lead to PID controllers. Noting that the PID controller has been the most popular one in industry for over ?fty years, we will con?ne our discussion hereto PIDcontrolonly. PID controlhasbeenanimportantresearchtopicsince 1950’s, and causes remarkable activities for the last two decades. Most of the existing works have been on the single variable PID control and its theory and design are well established, understood and practically applied. However, most industrial processes are of multivariable nature. It is not rare that the overall multivariable PID control system could fail although each PID loop may work well. Thus,demandforaddressingmultivariableinteractionsishighforsuccessful applicationofPIDcontrolinmultivariableprocessesanditisevidentfrommajor leading control companies who all rankedthe couplings of multivariable systems as the principal common problem in industry. There have been studies on PID control for multivariable processes and they provide some useful design tools for certaincases. But itis notedthat the existing worksaremainlyfor decentralized form of PID control and based on ad hoc methodologies. Obvious, multivariable PID control is much less understood and developed in comparison with the single variable case and actual need for industrial applications. Better theory and design have to be established for multivariable PID control to reach the same maturity and popularity as the single variable case. The present monograph puts together, in a single volume, a fairly comp- hensive, up-to-date and detailed treatment of PID control for multivariable p- cesses, from paring, gain and phase margins, to various design methods and applications.

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