Parameters' Optimization in Compressed Air Pressure Process Using Hybrid Fmin–GA-Based PID and Fractional Order Internal Model Controller.

The Compressed Air Pressure Process (CAPP) is very important in an industrial environment. Because compressed air is used in many applications such as pneumatic-based actuation such as pneumatics valves, pneumatic-based tools, etc. In this process, the minute linkages are very difficult to arrest and also nonlinear behavior of conversion elements such as pressure (3–15) psi to current (4–20) mA (P/I) as well as current (4–20) mA to voltage (0–5) v (I/V) converters are making the process highly nonlinear. To maintain the process variable at a certain prescribed value and to design a good and effective controller, the non-linear process must be controlled, and the best model is needed. In this research work optimized integer with non-integer designs are gained and based on the models the PID controller with optimized controller parameters is selected depending on the model using optimized methods such as Fmin–GA and also Internal Model controllers (IMC) are designed, the Investigations are done by comparing the dynamic behaviors. The performance of the proposed technique is implemented in the MATLAB platform and the experimental prototype is also presented. [ABSTRACT FROM AUTHOR]