This paper deals with obtaining the optimal control configuration for process networks comprising lumped and distributed parameter systems. Equation graphs that capture structural interactions among the input and output variables of first-order hyperbolic PDE systems with different types of actuations are proposed, which are combined with equation graphs of lumped parameter systems. Using these equation graphs, parameters that quantify structural coupling (relative degrees, characteristic indices) are calculated, on the basis of which, the optimal decentralized control configuration is identified. Agglomerative hierarchical clustering is then applied to obtain candidates for block-decentralized control configurations. A modularity maximization algorithm is used to select the optimal block-decentralized control configuration.
|Original language||English (US)|
|Title of host publication||2017 American Control Conference, ACC 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - Jun 29 2017|
|Event||2017 American Control Conference, ACC 2017 - Seattle, United States|
Duration: May 24 2017 → May 26 2017
|Name||Proceedings of the American Control Conference|
|Other||2017 American Control Conference, ACC 2017|
|Period||5/24/17 → 5/26/17|
Bibliographical notePublisher Copyright:
© 2017 American Automatic Control Council (AACC).