Metaheuristic algorithm based PI controller design for Linearized Quadruple-Tank Process

In this paper, grey wolf optimization (GWO) based decentralized PI controller and battle royale optimization (BRO) based decentralized PI controller are proposed to improve transient response characteristics of linearized quadruple-tank process (QTP). The integral of the time-weighted absolute error (ITAE) metric, which is an error-based objective function, was utilized as the objective function for both algorithms. Convergence curve analysis, time-domain analysis and frequency-domain analysis (bode analysis) of the decentralized PI controller designed with two different approaches were performed. According to the results obtained, it was observed that the GWO-based decentralized PI controller improved the transient response characteristic of the quadruple-tank process compared to the BRO-based decentralized PI controller.