Quantitative Feedback Theory-Based Robust Control for a Spindle of Lathe Machine
Data publikacji: 01 gru 2016
Zakres stron: 1776 - 1794
Otrzymano: 03 lip 2016
Przyjęty: 21 paź 2016
DOI: https://doi.org/10.21307/ijssis-2017-939
Słowa kluczowe
© 2016 M. Khairudin et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This paper presents theoritical and experimental design of a robust control based on quantitative feedback theory (QFT) approach to control deepness variations on cutting process for a spindle of lathe machine. The dynamics of a spindle is uncertain and varying due to deepness variation on cutting process. Practical design steps are explained in which QFT based conditions are assembled to obtain a compensator and pre-filter gain to control a spindle. The robust controller show an advantage control the system under various cutting conditions. The performances of the proposed controller are evaluated in terms of input tracking capability of the spindle responses and speed responses of a spindle incorporating deepness on cutting process. Experimental results show that QFT based robust control provides the improvement of robustness and performances.