Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm

Abstract

The liquid level control remains an important task for research and is used by process control engineers. Linear models for the tank system were obtained based on empirical techniques. From these identified linear models Takagi-Sugeno model was obtained and later a fuzzy controller was designed based on the parallel distributed compensation method (PDC). A comparison was made between local linear PI controllers and the parallel distributed compensation controller. The evaluation criteria which was considered in this paper is the step response. In addition to all of the above stated, the whale optimization algorithm is implemented to fine tune parameters and to obtain optimized Takagi-Sugeno plant model. Moreover, the PDC from optimized model is compared to the first parallel distributed controller, which was based on identified models.