The Modelling and Control of Hot Air Generator Process

Our paper is to deal with the mathematical model for hot air generator, using the transfer function model. Best control schemes are going to be implemented and the outcome of performances are examined by comparing with the dynamic behavior of PID (Proportional Integral Derivative) controller with various optimisation technique. The hot air is used for food processing industries for the removal of moisture content and also drying of raw material used in the food processing industries. For example, for moisture removal of tea leaf in the tea manufacturing industries. The process variable in this process is affected by various disturbances such as environmental temperature, blower speed and non-linear behavior of converters and final control elements. The exact transfer function model will be obtained through open loop testing, and the model is fine-tuned, and the integer and non-integer models are obtained through model optimisation techniques and the standard PID controller with hybrid optimisation techniques such as Fmin Search-GA (Fmin-GA), Fmin Search-Pattern Search (Fmin-PS), and Model Predictive Control (MPC) also implemented, and performance is investigated using time domain specification. The algorithm will aid in the protection of the industrial environment against high temperatures.

Key Words: Hot air generator, Genetic algorithm, Internal model-based controller, PID controller, Transfer function.