Domenico Manzari
Enhancing Tracking Algorithm Performance in a 2D Laser Cutting Machine through Z-Axis Modelling and Validation.
Rel. Alessandro Rizzo. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2024
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
Abstract
This work arises from the need to solve the problem of tracking the signal from a capacitive sensor and was promoted by Prima Industrie, a leader in the production of laser cutting machines for sheet metal. The quality of laser cutting significantly depends on the distance between the cutting head and the sheet. An algorithm controls this distance in real time by tracking the capacitive sensor signal to ensure the correct standoff. To compensate for system delays and optimize cutting performance, the system, particularly the Z-axis, was modeled using a data-driven approach based on experimental tests, exciting the system with white noise added to the different control loops.
Data processing and analysis led to the development of a model using MATLAB® System Identification Toolbox
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modify record (reserved for operators) |
