Tuning of improved form of PID controller for time delayed unstable processes using PSO and PSOGSA optimization algorithm
Date
2022
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Abstract
Time delayed and unstable processes are frequently encountered in industrial and chemical
plants, such as heating boilers, liquid storing tanks and batch chemical reactors. Many different
approaches have been developed to control such processes. A number of systems utilize
proportional–integral (PI) or proportional–integral–derivative (PID) controller methods based on
the classical unity feedback closed loop structure for time delayed unstable processes. But those
are sometimes not acceptable in cases unstable system. To avoid this problem, the form of PSO
(particle swarm optimization) and PSOGSA (particle swarm gravities) Algorithm based I-PD
controller is applied for the control of Time delayed unstable processes. In this work the Integral
Square Time Error (ISTE) is considered as an objective function for the optimization problem.
