An algorithm design for fast tuning of non-linearity control

Idrizi, Ferit and Kacani, Jorgaq and Zeqiri, Nderim (2018) An algorithm design for fast tuning of non-linearity control. JAS - SUT Journal of Applied Sciences-SUT, 4 (7-8). pp. 44-49. ISSN 2671-3047

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Abstract

The first challenge for high precision and high-speed machining motion control is the presence of friction as a nonlinear phenomenon that exists in every mechanical system. On the CNC feed drive system of the vertical milling machine, the most important statics loads are the friction in the sideways and in the feed drive bearings. Another source of static loads is cutting forces, which usually have opposite direction of the moment of the feed drive where a servomotor is directly connected to lead-screw. The complexity of motion control is further enhanced by the fact that the milling process is a work shift that requires contour tracking at any moment of movement in order to achieve working tolerances under the limits. The Federate speed and feed drive position accuracy are directly dependent on the amount of torque and torque delivered by the servomotor and by the feed drive control algorithm executed by the Computer Numerical Control Unit. To overcome all these nonlinearities, we have to design a control system that gives fast response with reasonable gains to respond properly to very frequent changes of the system. In this paper is presented a comparison between controlling algorithms and different tuning methods in order to find the faster solutions and the faster system response. Compensation for non-linearity is attempted through improvement of control and appropriate tuning methods. A flow chart for fast tuning algorithm and relevant results of simulation are presented.

Item Type:	Article
Subjects:	A General Works > AI Indexes (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Unnamed user with email zshi@unite.edu.mk
Date Deposited:	05 Jun 2019 08:35
Last Modified:	05 Jun 2019 08:35
URI:	http://eprints.unite.edu.mk/id/eprint/171

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