Loop decomposition and dynamic interaction analysis of decentralized control systems
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Cited by (19)
Interaction analysis and decomposition principle for control structure design of large-scale systems
2014, Chinese Journal of Chemical EngineeringQuantification of interaction in multiloop control systems using directed spectral decomposition
2013, AutomaticaCitation Excerpt :Consequently, several methods have been developed to incorporate the dynamic nature of the control system into the analysis of interaction (Grosdidier & Morari, 1987; He et al., 2009; Hovd & Skogestad, 1992; Jensen, Fisher, & Shah, 1986). The existing methods can broadly be classified into two categories, (i) those which assume a perfect controller (Bristol, 1978; Gagnepain & Seborg, 1982; Witcher & McAvoy, 1977) and (ii) those which take into account the actual controller (Grosdidier & Morari, 1987; Huang, Oshima, & Hashimoto, 1994; Meeuse & Huesman, 2002; Zhu & Jutan, 1996). An overview of several categories of interaction analysis methods from an input–output pairing perspective is provided in van de Wal and de Jager (2001).
New methods for interaction analysis of complex processes using weighted graphs
2012, Journal of Process ControlCitation Excerpt :Nevertheless, this impact is very low (0.076) compared with the effect on y2 (0.924), and it is also existing only at high frequencies as it can be appreciated in the second column of FDPTc(Ey · ΩCL) in Fig. 11 (right). The same conclusions were obtained in [30] using loop decomposition, and they were validated by examining the responses to independent setpoint changes in both control loops. These step responses are depicted in Fig. 12.
An experimental pairing method for multi-loop control based on passivity
2007, Journal of Process ControlDesign of multiple FACTS controllers for damping inter-area oscillations: A decentralised control approach
2004, International Journal of Electrical Power and Energy SystemCitation Excerpt :It follows that control action in the ui−yi loop in response to changes and/or disturbances in this control loop initiates control action in one or more control loops to keep the variables, yl, l≠i at their set points. This problem is known as interaction and may result in a degraded overall performance for the MIMO system [14,15]. In the equations above, gii(s) represents the interaction-free transfer function of the system, and δi(s) represents the additional dynamics in the ith loop resulting from other control loops.