Iterative learning for electromagnetic vibrating machine control

作者：Bu Xuhui^*; Yin Yanling; Yu Fashan; Zhang Hongwei

来源：Journal of Convergence Information Technology, 2012, 7(19): 177-185.

DOI：10.4156/jcit.vol7.issue19.21

• Amplitude control
• Blending system
• Disturbance suppression
• Effect of measurements
• Iterative learning
• Iterative learning control
• Robust designs
• Tracking performance
• Vibrating machines

In this paper, the iterative learning is introduced to electromagnetic vibrating machine amplitude control in blending system, which executes the same task repeatedly over a finite time-interval. To suppress the effect of measurement disturbance, a robust ILC algorithm with decreasing gain is proposed, and the convergence is also given. This technique can use the operation information in blending system and enables the tracking performance better from operation to operation without any model information. The robust design can also attenuate the disturbance effectively. The experiment results show that the desired amplitude can be obtained and it fits to high precise blending system.

• 出版日期2012
• 单位Polytechnic university