Abstract
Pressure control could be a key process variable in industrial sector because pressure provides an important condition for air-conditioning, chemical reaction, boiling, extrusion, vacuuming, and distillation. Worse pressure control will cause critical quality, productivity and safety issues at the same time excessive pressure within a closed container will result in dangerous explosion. Hence, it is highly important to maintain the pressure at desirable range even in the presence of disturbance and the change in set point. Usually the pressure is controlled by Proportional Integral Derivative (PID) controller in industries because of its higher performance and simple structure over other controllers. The PID controller was designed using Z-N tuning method. Further the PID values were optimized for higher performance by using Pattern Search and Genetic Algorithm. Finally, the response of optimized PID controller was compared with standard Z-N PID controller. The error performance criteria like ISE, IAE, and IATE were used for comparison
Highlights
The measurement and controlling of pressure is a considerable importance in process industries, and it was controlled by Proportional Integral Derivative (PID) controllers with good response produced by tuning methods like Ziegler Nichols (Z-N), Cohen-coon was used
In-case for settling time parameter concern the Genetic Algorithm (GA) has outperformed than Pattern Search (PS) and Z-N techniques
The deliberated optimized controllers were compared with the traditional ZN-PID controller
Summary
The measurement and controlling of pressure is a considerable importance in process industries, and it was controlled by PID controllers with good response produced by tuning methods like Z-N, Cohen-coon was used. Approached the PID values with the optimization techniques for better performance than the tuning methods. Genetic algorithmic program useful in PID organizer advances FOLPD transitory reaction related to dual calibration ways. This is presented via normal percent overshoot fall, further than 80% and 20% with approval to Iterative Method and Z-N rule whereas observance the peak time (Tp) and rise time (Tr) almost not affected and advances the settling time (Ts).
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