Dynamic Sliding Mode Control for a Quadruple Tank Process with Long Time-Delay Using Swarm Intelligence Optimization Techniques

This paper presents a Dynamic Sliding-Mode Control (DSMC) for a long delay in a quadruple tank process (QTP). In this work, an ideal decoupler is designed to reduce the interaction between variables and divide the process into two monovariate systems, which are obtained by using reaction curve identification. In addition, a DSMC is designed for each system, and its parameters are tuned using three swarm intelligence optimization techniques (PSO, WOA, and GWO). Finally, the performance of the tuned controller is measured through a simulation test using MATLAB. Several performance indices of each algorithm showed different impacts on the search mechanism, evaluated by simulation.