Experimental validation of optimized fast terminal sliding mode control for level system

This research article presents a process control application of a single-input single-output (SISO) level control system using the combination of fast terminal sliding mode control (FTSMC) and optimization method. Non-dominated sorted genetic algorithm-ii (NSGA-ii); a modern optimization technique is used to optimized the parameters of FTSMC. Here, a comparative analysis of conventional sliding mode control (SMC), FTSMC, NSGA tuned FTSMC and NSGA-ii tuned FTSMC has being carried out through MATLAB/ Simulink. The performance indices such as integral absolute error (IAE), integral square error (ISE), and integration of weighted errors have been considered as the objective functions. The robustness of the controller is tested through real-time experimentation. The stability is obtained by using Lyapunov stability criteria. Simulation and experimental results show that NSGA-ii tuned FTSMC method outperforms the conventional methods and the error is converging to zero in a finite-time. Also, NSGA-ii tuned FTSMC provides better-estimated setpoint and disturbance rejection responses.