A Self-Tuning Regulator by Using Bacterial Foraging Algorithm for Weight Belt Feeder

Industrial paints are always exposed to environmenal changes and different disturbances. So producing a controller that can adapt with environmental changes and disturbances is an important issue. The weight belt feeder used in this research is a typical process feeder that is designed to transport solid materials into a manufacturing process at a constant feedrate and this feedrate should be controlled by a controller. A method to produce a controller with the ability to adapt with environmental changes is design and implementation of an indirect self-tuning regulator. At the end we can conclude that using this controller with an advanced heuristic algorithm based on bacterial foraging makes the performace of the system better.