Computational analysis of hybrid grey wolf and particle swarm optimization for water level control in coupled tank

<p><span>Water level control at a precise set point is major concern in process systems such as bulk drug production industries. Loss the initial stage observed until water reaches desired level. Pharmaceutical industries can however be benefited if they could maintain of with help performance optimization using various techniques. To achieve optimized value selected index, hybrid particle swarm (PSO) and grey wolf (GWO) found to provide best possible manner. The mathematical model coupled tanks first developed state space analysis which then converted transfer function form so accomplish simulation. In this paper, integral square error (ISE) index for minimization improve overall system. <span>Observations from GWO-PSO articulate that overshoot settling time improved per industry needs. Performance evaluation different techniques discussed paper.</span></span></p>