A Self-Tuning Regulator by Using Bacterial Foraging Algorithm for Weight Belt Feeder
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.
KeywordsAdaptive Control Indirect Self-Tuning Regulator Weight belt feeder bacterial foraging
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- 1.Zhao, Y., Collins Jr., E.G., Cartes, D.A.: Self-tuning adaptive control for an industrial weigh belt feeder. ISA Transactions 42 (2003)Google Scholar
- 3.Zhao, Y., Collins Jr., E.G.: Fuzzy PI control of an industrial weigh belt feeder. In: Proceedings of American Control Conference, Anchorage, AK, pp. 3534–3539 (2002)Google Scholar
- 5.Astrom, K.J., Wittenmark, B.: Adaptive Control, 2nd edn. Addison-Wesley Publishing Company, Reading (1995)Google Scholar
- 6.Astrom, K.J.: Tuning and adaptation. In: Proceedings of the 13th World Congress of IFAC, San Francisco, CA, vol. K, pp. 1–18 (1996)Google Scholar