International Journal of Advances in Electrical Engineering

There is a mechanism for controlling the level of tanks everywhere. Having a solid grasp of how tank control systems function and how level control issues are resolved is crucial knowledge for control systems engineers. Since the control action for level control in tanks holding various chemicals or mixes is crucial for further control connecting set points, the liquid level is bearing significant weight in industrial control systems.

Since every real-world system is inherently non-linear, traditional controllers aren't always reliable. To get a better answer, we apply Fuzzy Logic Control. Whether you're making a linear or non-linear embedded control system, Fuzzy Logic is a great alternate design process to follow. Reduced development costs, improved final product performance, and enhanced features are all possible thanks to fuzzy logic.

Tank LLC is one example of a successful use of fuzzy control.

Here, we use MATLAB to create a Fuzzy Control based on the water tank's liquid level. We then compare the control effect to that of a PID controller and conduct an analysis based on our findings. When comparing the two, Fuzzy Control is clearly the better option. Time to reaction, steady-state error, and overshoot are a few of the factors that might get extra focus. When we compared the two systems' control responses, we found that the fuzzy logic controller drastically cut down on overshoot and steady-state error.