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28 December 2022 Initial-rectification iterative learning control approach of linear motor systems
Yan Ma, Youfang Yu, Lili Zhao, Xidan Wang, Shuangjie Ji
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Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125065F (2022) https://doi.org/10.1117/12.2661970
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
This work studies the initial-rectification adaptive iterative learning control design for the linear motor systems with unknown input deadzone. For overcoming the nonzero initial error of iterative leaning control, an initial-rectification trajectory is constructed. By making the system state follow the initial-rectification trajectory along the iteration axis, we can get the necessary accurate tracking during the presented time interval. Robust adaptive learning control approach is employed to compensate for complicated uncertainties and disturbances.
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Yan Ma, Youfang Yu, Lili Zhao, Xidan Wang, and Shuangjie Ji "Initial-rectification iterative learning control approach of linear motor systems", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125065F (28 December 2022); https://doi.org/10.1117/12.2661970
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KEYWORDS
Control systems
Design and modelling
Actuators
Detection and tracking algorithms
Adaptive control
Algorithm development
Algorithms
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