Abstract
This paper introduces a control approach for a class of Chemical Reaction Networks (CRNs) that are interconnected through a delayed convection network. First, a control-oriented model is proposed for interconnected CRNs. Second, based on this model, a distributed control method is introduced which assures that each CRN can be driven into a desired fixed point (setpoint) independently of the delay in the convection network. The proposed algorithm is also augmented with a disturbance attenuation term to compensate the effect of unknown input disturbances on setpoint tracking performance. The control design applies the theory of passive systems and methods developed for multi-agent systems. Simulation results are provided to show the applicability of the proposed control method.
Highlights
The control of plant-wide industrial processes is in the focus of the researchers for decades [1,2]
The decentralized or distributed control approaches are advantageous in process network applications to reduce the communication costs and possible communication hazards that could arise in the case of centralized control [3]
Consider a process network consisting of C subsystems (CRNs) that are interconnected through a delayed convection network
Summary
The control of plant-wide industrial processes is in the focus of the researchers for decades [1,2]. In the paper [4] the authors proposed a distributed control approach for such interconnected processes that can be modeled as linear time-invariant systems based on passivity theory. This control method takes into consideration the transport delay in the interconnections among the processes. The popular and powerful model predictive control approach is used in distributed and in hierarchical frameworks (see the paper [7] for a review) This approach can handle nonlinear interconnected process systems, as well. The stability and tracking performance of the interconnected CRN with the proposed control is analyzed using techniques borrowed from the theory of multi-agent systems
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