Control of level in a process tank is most common in process and chemical industry. Development of model based control algorithms provides a better control under nonlinearities and disturbances. Identification is the process of estimating the model under given boundary conditions. Data driven empirical models are relatively easy to estimate and best suited within the process limitations. This paper deal with the design of an empirical model for a level control process and to tune the PID controller using different tuning method. The tuning method are compared between each other and the best control parameters are selected by analyzing the response.