Abstract:Temperature control is one of the most fundamental entity in process industries ranging from power generation, Healthcare, laboratories to food processing and beyond. Depending on the intensity of the process various control techniques are used to monitor and regulate the temperature within desired limits to ensure safety and quality. This paper deals with modelling and control of an electrically heated oven available in standard control laboratories. The system model is estimated and validated using system identification tool-box and graphical method. PI controller based smith predictor and Internal Model Controller is used as a controller for the system. Performance comparison is done between the controllers practiced to the system in MATLAB Simulink environment. Results suggest that Internal model based controller depict better time domain characteristics in contrast with Smith predictor based controller followed by the classical Ziegler Nichols based PID controller. Keywords:PID, Smith predictor, Oven, IMC controller, Zeigler Nichols, IDENT toolbox, Empirical modelling