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Performance assessment of decentralized control system based on improved user-specified benchmark


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Performance assessment of decentralized control system based on improved user-specified benchmark
Su ChengliTang YuguangLi ping
School of Information and Control Engineering,Liaoning Shihua University,Fushun 113001,China
performance evaluation internal structure of decentralized control system improved user-specified benchmark interactor matrixes
In view of that the internal structure of the decentralized control system is ignored when its performance is evaluated by the traditional user-specified benchmark,the improved user-defined benchmark is proposed here.The open-loop delay and the disturbance of the traditional user-specified benchmark are respectively replaceed by the effective partially closed-loop delay and disturbance.Diophantus is applied to analyze the minimum variance response of the user-specified function to get the performance indicator.The right diagonal interactor matrix replaces the unit interactor matrix to simplify complexity of solving performance indicators.The simulation results prove that this method can evaluate the decentralized control system whether the system has the internal disturbance.


[1] Harris T J,Seppala C T,Desborough L D.A review of performance monitoring and assessment techniques for univariate and multivariate control systems[J].Journal of Process Control,1999,9(1):1-17.
[2]Zhang Chi,Vasudevan Suraj,Rangaiah G P.Plantwide control system design and performance evaluation for ammonia synthesis process[J].Engineering Chemistry Research,2010,49(24):12538-12547.
[3]Yuan Qiaolin,Lennox B.Control performance assessment for multivariable systems based on a modified relative variance technique[J].Journal of Process Control,2009,19(3):489-497.
[4]Harrison C A,Qin S J.Minimum variance performance map for constrained model predictive control[J].Journal of Process Control,2009,19(7):1199-1204.
[5]Huang Biao,Ding S X.Practical solutions to multivariate feedback control performance assessment problem:Reduced a prior knowledge of interactor matrices[J].Journal of Process Control,2005,15(5):573-583.
[6]Huang Biao,Shah S L.Practical issues in multivariable feedback control performance assessment[J].Journal of Process Control,1998,8(5/6):421-430.
Zhang Quanling,Huang Qizhen.Multivariable control performance assessment techniques based on user-specified benchmark[J].Control and Decision,2011,26(7):1117-1120.
[8]Sendjaja A Y,Kariwala V.Minimum variance benchmark for performance assessment of decentralized controllers[J].Industrial and Engineering Chemistry Research,2012,51(11):4288-4298.
[9]Skogestad S,Postlethwaite I.Multivariable feedback control:Analysis and design[M].2nd ed.Chichester,U K:John Wiley & Sons,2005.
[10]Wood R K,Berry M W.Terminal composition control of a binary distillation column[J].Chemical Engineering Science,1973,28(9):1707-1717.


Last Update: 2014-04-30