Application of Metaheuristic Algorithms for a Coupled-Tank Inverted Conical System Control

The paper investigates the control of water levels in a coupled-tank inverted conical system (CTICS), which exhibits highly nonlinear mathematical and dynamic characteristics. The system was first linearized using Jacobian linearization around a selected stationary point to develop an effective control strategy. The study explores and compares three control approaches: two metaheuristic algorithms, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), and a classical Auto-tuning method. The comparison focuses on ITAE values and key transient response parameters.