Abstract
A multivariable process of four interconnected water tanks is considered for modeling and control. The objective of the current study is to design and implement a distributed control and estimation (DEC) for a multivariable four-tank process. Distributed model and inter-nodal communication structure are derived from global state–space matrices, thus combining the topology of plant flow sheet and the interaction dynamics across the plant subunits. Using experimental data, the process dynamics and disturbance effects are modeled. A typical lab-scale system was simulated and the obtained results demonstrated the potential of the DEC algorithm.
Highlights
A large-scale system is usually constructed from many distributed subsystems, which are interconnected with each other
State estimation and control algorithms have been implemented for dynamical systems represented by state–space models [2]
One of the realistic process system applications is the interacting four-tank system depicted in Fig. 1, where the objective is to adjust the liquid level to prescribed value using appropriate technique
Summary
A large-scale system is usually constructed from many distributed subsystems, which are interconnected with each other Such systems are widely employed in practice, for example, multi-axis machinery, electric power systems, chemical reactors, petrochemical systems etc. Recent results in multi-sensor data fusion [5] employ information theoretic principles to transform the estimation and control problem to yield a fully distributed and decentralized estimation and control structure. This algorithm provides the required scalability while at the same time retain the global optimal performance that is equivalent to that of a centralized fusion system. Corresponding author: Magdi S Mahmoud; E-mail: Control and Instrumentation Engineering Department, KFUPM, PO Box 5067, Dhahran 3126, Saudi Arabia,
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