Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer

Abstract

The process industries have continually combated the problem concerning liquid level control. Effective control of a system depends largely on the accuracy of the mathematical model that predicts its dynamic behavior. In this paper the Takagi-Sugeno fuzzy model for the coupledtank system was acquired based on empirical technique. Furthermore, a metaheuristic algorithm was used as an optimizer on the coupled-tank model. Then, a juxtaposition was made when comparing models which were identified and optimized, leading to satisfactory results. Experimental results obtained on the coupled-tank system are provided.