Decoupling control parameter method to study the coupling characteristics of subsystems in the feed system
Dongsheng Zhang, Xuesong Wang, Tingting Zhang

TL;DR
This paper introduces a novel method to decouple control parameter effects in feed systems of high-speed CNC machines, enabling clearer analysis of subsystem coupling and improving dynamic performance design.
Contribution
It proposes a new approach to isolate control parameter disturbances, allowing for better understanding of subsystem coupling mechanisms in feed systems.
Findings
Effective decoupling of control parameters demonstrated
Enhanced understanding of subsystem coupling mechanisms
Improved design insights for high-speed CNC feed systems
Abstract
When developing high-speed and high-precision CNC machine tools, subsystem coupling effects must be considered while designing the feed system to maximize its dynamic performance. Currently, the influence of changes in control parameters on the matching characteristics of each subsystem was not yet considered when studying the coupling relationship between subsystems. Therefore, it is difficult to define the law of action between subsystems under the interference of control parameters. Hence, a new method was proposed in this paper aiming to isolate the disturbance of control parameters and to highlight the actions between electromechanical subsystems. This was achieved by optimizing the servo control parameters for each configuration of electromechanical parameters, ensuring that the feed system performance is optimal for the observed configuration. This approach eliminated the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIterative Learning Control Systems · Advanced machining processes and optimization · Engineering Technology and Methodologies
