Identification of the Thermoelectric Cooler Using Hybrid Multi-Verse Optimizer and Sine Cosine Algorithm Based Continuous-Time Hammerstein Model

Abstract This paper presents the identification of ThermoElectric Cooler (TEC) plant using a hybrid method Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based on continuous-time Hammerstein model. These modifications are mainly for escaping from local minima and making balance between exploration exploitation. In model linear system is used hMVOSCA to tune coefficients both subsystems (linear nonlinear) such that error estimated output actual reduced. The efficiency proposed evaluated convergence curve, parameter estimation error, bode plot, function Wilcoxon’s rank test. experimental findings show can produce generates an like TEC output. Moreover, identified outputs also outperforms other popular metaheuristic algorithms.