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The Research On Multi-motor Synchronization Control For Main Drive System Of Rolling Mill

Posted on:2019-12-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y H WangFull Text:PDF
GTID:2382330563490634Subject:Control engineering
Abstract/Summary:PDF Full Text Request
In the main drive system of the rolling mill,the drive mode of single roller driving two rollers extends the time of regulation of motor speed and affects the rolling of steel.Multiple motors dragging rollers are needed to be introduced.In this drive mode,if the speed can not be synchronized,it will lead to steel production problems and reduce the quality of steel.Achieving synchronization control of multiple motors in the main drive system of a rolling mill is significant to the production of high quality steel.To realize the multi-motor synchronization control of the main drive system,DC motor mathematical models were built.A PI tracking controller was adopted to control a single motor.The cross-coupled synchronization structure was selected to design synchronization control system.To reduce the time for synchronization of two motors,a neural network synchronization controller based on Widrow-Hoff learning algorithm was designed.A cross-coupled neural network synchronization control system was built.Simulation results show that compared with the system without the synchronization controller,the designed system reduces the time required to achieve synchronization by 0.056 s when the steel is being rolled and the synchronization error reaches 0.0001rad/s.To improve the anti-jamming performance of the designed system under the sinusoidal disturbance,disturbance observers were designed which were combined with the neural network synchronization control system.Compared with the system without disturbance observers,the fluctuation of synchronization error reduces by 96% in the system with disturbance observers,indicating that the anti-disturbance ability is stronger.Aiming at the problem of slow speed in the system with the disturbance observers,feedforward controllers were designed and added to the system.The simulation results show that compared with system without feedforward controllers,the feedforward controllers could improve the response speed by 24% and tracking performance,the synchronization error is stable at 0.0001rad/s.
Keywords/Search Tags:main drive system, multi-motor synchronization control, neural network, disturbance observer, feedforward control
PDF Full Text Request
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