A Novel Moth-Flame Algorithm for PID-Controlled Processes With Time Delay

Abstract

This chapter proposes a classical controller to control the industrial processes with time delay. A new population-based metaheuristic technique, called moth flame optimization (MFO) algorithm, is employed to tune the parameters of the classical proportional-integral-derivative (PID) controller for achieving the desired set point and load disturbance response. MFO-based PID controller may deal with wide ranges of processes, which includes integrating and inverse response as well as it may control the processes of any order with time delay. The transient step response profile obtained from the proposed MFO-based PID controller is juxtaposed with those obtained from other methods for optimizing the gains of the PID controller to control the processes with time delay. The proposed controller is analyzed by implementing step disturbance in the process at a specific simulation time. For few time delay processes, reference models are employed for better transient response as well as to analyze the controller for controlling the overall system with reference model.