Abstract
Industrial palnts 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.
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Zare, B., Mohammadi, S.M.A., Kiani, M. (2011). A Self-Tuning Regulator by Using Bacterial Foraging Algorithm for Weight Belt Feeder. In: Das, V.V., Thankachan, N. (eds) Computational Intelligence and Information Technology. CIIT 2011. Communications in Computer and Information Science, vol 250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25734-6_6
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DOI: https://doi.org/10.1007/978-3-642-25734-6_6
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