Distributed estimation and control of a four-tank process

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.

State Estimation and Optimal Control of Four-Tank System with Stochastic Approximation Approach

“…Then, compare their performances in terms of disturbance rejection to study the effects of these control systems on the four-tank system. Moreover, a distributed control and estimation method [13] was designed for a multivariate four-tank process, whereas active disturbance rejection techniques [14] and disturbance observers [15] were proposed for studying four-tank systems in the presence of random disturbances. Furthermore, some studies have been conducted on tank systems using the simultaneous perturbation stochastic approximation (SPSA) method.…”