Water level management at a specific moment is a major topic of contention in bulk drug production companies. Production initially declines until the water level reaches the target level. However, pharmaceutical companies could make more money if they could precisely regulate the water level at the beginning of production. Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) are introduced in this work to perfectly synchronize the water level with optimal performance parameters. The method for controlling the water proportion (level) in the spanned tanks for the MIMO system can be achieved by identifying the mathematical model. Monitoring the system’s open-loop reaction is the first step in identifying the system. By examining the connected tank’s real parameters, this may be processed. A detailed explanation of state-space analysis of connected tanks and how it is converted into a transfer function is provided. The intrinsic parameters needed for the computation are examined in this work. The platform for viewing the responses is MATLAB. The PID controller’s observations show that a better controller is required to improve performance. This document presents performance analysis and its debate.