GQF-PSO Algorithm for Temp Control Loop in Process Control

Abstract

In the real time of process optimization, the "Gaussian Quantum Firefly-PSO Algorithm for PID Controlled Temperature Loop of Process Plant" is an innovative method. Proportional-Integral-Derivative (PID) management of the temperature loop, firefly-inspired optimization, and quantum computing are all combined in this innovative technique. This algorithm offers the possibility of accurate and efficient optimization of individual loops by including Gaussian distributions and quantum behaviors into the firefly-PSO framework. This would guarantee improved performance, stability, and safety in intricate industrial processes. This introduction highlights the potential of this novel technique by summarizing the convergence of process control, firefly-inspired optimization, and quantum computing.