Data-driven control for noncircular turning tool servo system

Based on the tracking and disturbance rejection requirements for noncircular turning process (NCTP), data-driven control method is applied in tool servo system. A model-free learning adaptive (MFLAC) composite control based noncircular turning process metering strategy with feedforward control and a...

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Hauptverfasser: Cao Rongmin, Hou Zhongsheng, Zhou Huixing, Guan Jingli
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creator Cao Rongmin
Hou Zhongsheng
Zhou Huixing
Guan Jingli
description Based on the tracking and disturbance rejection requirements for noncircular turning process (NCTP), data-driven control method is applied in tool servo system. A model-free learning adaptive (MFLAC) composite control based noncircular turning process metering strategy with feedforward control and adaptive compensation is presented. In this scheme, a 3-tier composite control structure is adopted, feedforward control, a MFLAC feedback control and a non-linear Radial Basis Function (RBF) based compensator. This modularized controller design makes use of the periodicity of the NCTP effectively and improves the controller performance greatly.
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subjects A mode-free learning adaptive control (MFLAC)
Adaptation models
data-driven control
disturbance rejection
Feedforward neural networks
Friction
Mathematical model
noncircular turning
Process control
Servomotors
Turning
title Data-driven control for noncircular turning tool servo system
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