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Title: High precision linear motor control via relay-tuning and iterative learning based on zero-phase filtering
Authors: Tan, K.K. 
Dou, H. 
Chen, Y. 
Lee, T.H. 
Keywords: Convergence analysis
Iterative learning control (ILC)
Linear motor
Practical motion control
Proportional integral derivative (PID) control
Relay tuning
Zero-phase filter
Issue Date: Mar-2001
Citation: Tan, K.K.,Dou, H.,Chen, Y.,Lee, T.H. (2001-03). High precision linear motor control via relay-tuning and iterative learning based on zero-phase filtering. IEEE Transactions on Control Systems Technology 9 (2) : 244-253. ScholarBank@NUS Repository.
Abstract: In this paper, with a modest amount of modeling effort, a feedback-feedforward control structure is proposed for precision motion control of a permanent magnet linear motor (PMLM) for applications which are inherently repetitive in terms of the motion trajectories. First, a proportional integral derivative (PID) feedback controller is designed using a relay automatic tuning method. An iterative learning controller (ILC) based on zero-phase filtering is applied as feedforward controller to the existing relay-tuned PID feedback controller to enhance the trajectory tracking performance by utilizing the experience gained from the repeated execution of the same operations. Experimental results are presented to demonstrate the practical appeal and effectiveness of the proposed scheme.
Source Title: IEEE Transactions on Control Systems Technology
ISSN: 10636536
DOI: 10.1109/87.911376
Appears in Collections:Staff Publications

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