Design a heuristic controller for nonlinear type liquid level industrial process

In process control industries, regulating the fluid inside those non-linear tanks for example, a tapered tank, ballast tank and circular tank may be demanding because of those progress in the cross-area zone of the tank. The main goal of this research paper is to design an applicable controller to control the level of the nonlinear type of tanks by using traditional controllers like Ziegler-Nichols tuning method (ZN) and mathematical controllers utilizing metaheuristic algorithms like Bacteria Foraging Optimization (BFO) algorithm, Particle Swarm Optimization (PSO) algorithm and Firefly Algorithm (FA). This controller could be a chance to be utilized by the industries that manage this nonlinear kind from claiming methodology. The scientific model for the tapered tank was carried out to identify those exchange works of the framework. Those traditional and computational controllers were intended also utilizing MATLAB/Simulink to decide the best controller for the tapered/hopper kind tank liquid level system based on the time domain specifications such as rise time, settling time and peak overshoot percentage. Moreover, those execution of framework are investigated in view of error indices for example Integral Square Error (ISE), Integral Absolute Error (IAE), Integral Time Square Error (ITSE) and Integral Time Absolute Error (ITAE). Since the chosen framework has a time delay of 1.755 seconds, and from the simulation results it is concluded that the computational controllers work perfectly, compared to the traditional method. Hence computational controllers are preferred for the chosen nonlinear tapper tank. Among those three heuristic algorithms, BFO may be acknowledged as the best for this framework as a result of less error. Also, servo and regulatory operations were tried to those decided to be the best controller (BFO) and the results were superior when compared to the other two methods.