A Simulation Study of Higee Rotor Auto-balancing Based on Iterative Learning Control |
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| Authors: | CAO Xi YNAN Hong-fang GAO Jin-ji |
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| Institution: | [1]Diagnosis and Self-recovery Engineering Research Center, Beijing University of Chemical Technology, Beijing 100029, China [2]College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China |
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| Abstract: | Hypergravity technology has a wide application prospect on many industry areas for its powerful ability on muitiphase flow transport and reaction.In its long-term operation,vibration control of higee rotor is an important guarantee for high-quality continuous outputs.Offline approach has great influence on continuity of the whole production line.In order to study online auto-balancing control strategy,a mathematical model of higee rotor was established.Then basic Iterative Learning Control(ILC)algorithm and its improved structure based on vector analysis were introduced.Pure injection balancer and electromagnetic balancer were separately used as the actuator.Three different control algorithnts(P control using Cohen-Coon parameter tuning law,basic ILC,and improved ILC based on vector analysis)were compared under single eccentric mass disturbance and continuous ones.Simulation results manifested the effects of ILC in rotor auto-balancing control,especially on the"over-control"issue during the balancing process. |
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| Keywords: | higee rotor auto-balancing rotor model Iterative Learning Control "over-control" |
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