Reference Tracking using a Non-Cooperative Distributed Model Predictive Control Algorithm

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• 作者：Anca Maxim^* ; ^** ; ^{anca.maxim@ac.tuiasi.ro" class="auth_mail" title="E-mail the corresponding author} ; Clara M. Ionescu^** ; ^{claramihaela.ionescu@ugent.be" class="auth_mail" title="E-mail the corresponding author} ; Constantin F. Caruntu^* ; ^{caruntuc@ac.tuiasi.ro" class="auth_mail" title="E-mail the corresponding author} ; Corneliu Lazar^* ; ^{clazar@ac.tuiasi.ro" class="auth_mail" title="E-mail the corresponding author} ; Robin De Keyser^** ; ^{robain.dekeyser@ugent.be" class="auth_mail" title="E-mail the corresponding author}
• 关键词：non-cooperative DMPC ; reference tracking ; two agent systems ; MIMO systems ; non-minimum phase systems
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：7
• 页码：1079-1084
• 全文大小：715 K

文摘

In this paper, a non-cooperative distributed model predictive control (DMPC) algorithm for tracking constant references is developed and evaluated. As such, an augmented model is employed (i.e. the control loop is embedded with integrators) and the augmented state contains the state increments and the error between the reference and the predicted output. The algorithm is tested in real life experiments on the quadruple tank process with non-minimum phase behaviour. The experimental results show acceptable performance index for the DMPC method when compared with the centralized approach.