Please use this identifier to cite or link to this item: https://doi.org/10.1109/IECON.2004.1432263
Title: Iterative learning based sliding-mode position controller for linear permanent magnet brushless DC servo motors
Authors: Tan, Y.K.
Panda, S.K. 
Keywords: Iterative Learning Control (ILC)
Linear brushless direct current motor (LBLDCM)
Sliding-mode Controller (SMC)
Tracking control
Issue Date: 2004
Source: Tan, Y.K.,Panda, S.K. (2004). Iterative learning based sliding-mode position controller for linear permanent magnet brushless DC servo motors. IECON Proceedings (Industrial Electronics Conference) 3 : 2864-2869. ScholarBank@NUS Repository. https://doi.org/10.1109/IECON.2004.1432263
Abstract: In this paper, we propose a robust nonlinear Sliding mode controller (SMC) for position control of the linear brushless direct current motor (LBLDCM). Being a nonlinear controller SMC exhibits improved tracking performance compared to the linear PID controller. For periodic position tracking, the tracking performance can be further improved by supplementing a plug-in Iterative Learning Control (ILC) to the SMC. The experimental test results obtained from a 300mm stroke length, DX20-C4 LBLDCM validates that the nonlinear SMC controller improves the tracking performance by a factor of 10 in comparison with the linear PID controller. Further inclusion of the plug-in ILC, the tracking performance is even improved by another factor of 2. This shows the efficacy of the proposed hybrid position controller. © 2004 IEEE.
Source Title: IECON Proceedings (Industrial Electronics Conference)
URI: http://scholarbank.nus.edu.sg/handle/10635/70711
DOI: 10.1109/IECON.2004.1432263
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