OPTIMIZATION OF PD-PI CONTROLLER USING SWARM INTELLIGENCE
Sensitivity and Robustness is the primary issue while designing the controller for non-linear systems. One of the performance objectives for controller design is to keep the error between the controlled output and the set-point as small as possible. A comparison between Evolutionary Algorithms namely GAs (Genetic Algorithms), and Swarm Intelligence i.e. PSO (Particle Swarm Optimization) and BG (Bacterial Foraging) has been carried out on the basis
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