Model-free adaptive predictive control for non-circular cutting derived CNC system

Model-free adaptive predictive control method based on non-circular cutting derived CNC system is proposed in this paper, the MATLAB simulation of the permanent magnet synchronous linear motor tool feed driving system verify the model-free adaptive predictive control algorithm to improve the control...

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Bibliographic Details
Main Authors: Junwei, Dai, Rongmin, Cao, Zhongsheng, Hou, Yunjie, Zhao
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Adaptation models
Adaptive algorithms
Adaptive control systems
Computer numerical control
Control systems
Data models
Data-driven
Mathematical model
Mathematical models
Matlab
Model-free adaptive predictive control
Non-circular cutting
Permanent magnet synchronous linear motor
Predictive control
Predictive models
Tracking
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Summary:Model-free adaptive predictive control method based on non-circular cutting derived CNC system is proposed in this paper, the MATLAB simulation of the permanent magnet synchronous linear motor tool feed driving system verify the model-free adaptive predictive control algorithm to improve the control performance of the system, but also get the higher position tracking accuracy than the PID control algorithm. Accordingly, the disadvantage that complex adjustment, low processing efficiency and processing accuracy in the process of system can be overcome to some extent, when the data-driven control method is applied to the non-circular cross-section parts processing.
ISSN:1948-9447
DOI:10.1109/CCDC.2016.7532031