Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system

Recently, the main interest in machine tools are to obtain precise positioning, robust tracking, low-cost manufacturing as well as adaptivity towards disturbances. These recent requirements or paradigm shift have led to a new and challenging era in the area of machining tools and control. However,...

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Main Author:	Retas, Zain
Format:	Thesis
Language:	English English
Published:	2023
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/27730/1/Design%20of%20nonlinear%20adaptive%20interaction%20algorithm%20controller%20for%20improvement%20of%20tracking%20performance%20of%20x-y%20table%20ball%20screw%20drive%20system.pdf http://eprints.utem.edu.my/id/eprint/27730/2/Design%20of%20nonlinear%20adaptive%20interaction%20algorithm%20controller%20for%20improvement%20of%20tracking%20performance%20of%20x-y%20table%20ball%20screw%20drive%20system.pdf
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spelling	my-utem-ep.277302024-11-12T10:18:11Z Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system 2023 Retas, Zain T Technology (General) TJ Mechanical engineering and machinery Recently, the main interest in machine tools are to obtain precise positioning, robust tracking, low-cost manufacturing as well as adaptivity towards disturbances. These recent requirements or paradigm shift have led to a new and challenging era in the area of machining tools and control. However, the presence of disturbances during machining processes in the form of cutting forces and friction forces have greatly reduced positioning and tracking accuracy of the system. Basically, there are three main objectives in this thesis. Firstly, to identify the mathematical model of machine tool for XY table using system identification technique through frequency response function (FRF) of the system. Secondly is to design a new control strategy that will provide good tracking performance of the XY table. The final objective is to validate the proposed technique through simulation using MATLAB/Simulink software and experimental work using real plant of Googoltech XY table. The methodology of this research is conducted based on the set objectives. This thesis proposes one new approach and contribution to compensate cutting force disturbances. The contribution is Nonlinear Adaptive Interaction Algorithm (NAIA). The controller is developed based on the enhancement and modification of the basic Adaptive Interaction Algorithm Controller (AIA). The NAIA controller is designed by integrating a modified nonlinear function to the base AIA controller. This thesis has successfully demonstrated that the tracking performance of a machine tool was increased significantly through the newly proposed technique that was compared with the basic PID controller. Results showed that the newly proposed NAIA control strategy managed to provide up to 60.2% improvement in comparison with PID (frequency, f = 0.6 Hz) and 53.55% improvement in comparison with CasPAi (at f = 0.2 Hz). In addition, results showed that the NAIA provides an improvement of 86.29% in terms of Root Mean Square Error (RMSE) for f = 0.6 Hz in comparison with PID and 78.68% improvement in comparison with CasPAi. However, further improvements are still needed. It is recommended for future work; the compensation of friction forces should be considered so that it enables further reduction of the tracking error especially in the segment of quadrant glitch. 2023 Thesis http://eprints.utem.edu.my/id/eprint/27730/ http://eprints.utem.edu.my/id/eprint/27730/1/Design%20of%20nonlinear%20adaptive%20interaction%20algorithm%20controller%20for%20improvement%20of%20tracking%20performance%20of%20x-y%20table%20ball%20screw%20drive%20system.pdf text en public http://eprints.utem.edu.my/id/eprint/27730/2/Design%20of%20nonlinear%20adaptive%20interaction%20algorithm%20controller%20for%20improvement%20of%20tracking%20performance%20of%20x-y%20table%20ball%20screw%20drive%20system.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=123732 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering Abdullah, Lokman
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Abdullah, Lokman
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Retas, Zain Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system
description	Recently, the main interest in machine tools are to obtain precise positioning, robust tracking, low-cost manufacturing as well as adaptivity towards disturbances. These recent requirements or paradigm shift have led to a new and challenging era in the area of machining tools and control. However, the presence of disturbances during machining processes in the form of cutting forces and friction forces have greatly reduced positioning and tracking accuracy of the system. Basically, there are three main objectives in this thesis. Firstly, to identify the mathematical model of machine tool for XY table using system identification technique through frequency response function (FRF) of the system. Secondly is to design a new control strategy that will provide good tracking performance of the XY table. The final objective is to validate the proposed technique through simulation using MATLAB/Simulink software and experimental work using real plant of Googoltech XY table. The methodology of this research is conducted based on the set objectives. This thesis proposes one new approach and contribution to compensate cutting force disturbances. The contribution is Nonlinear Adaptive Interaction Algorithm (NAIA). The controller is developed based on the enhancement and modification of the basic Adaptive Interaction Algorithm Controller (AIA). The NAIA controller is designed by integrating a modified nonlinear function to the base AIA controller. This thesis has successfully demonstrated that the tracking performance of a machine tool was increased significantly through the newly proposed technique that was compared with the basic PID controller. Results showed that the newly proposed NAIA control strategy managed to provide up to 60.2% improvement in comparison with PID (frequency, f = 0.6 Hz) and 53.55% improvement in comparison with CasPAi (at f = 0.2 Hz). In addition, results showed that the NAIA provides an improvement of 86.29% in terms of Root Mean Square Error (RMSE) for f = 0.6 Hz in comparison with PID and 78.68% improvement in comparison with CasPAi. However, further improvements are still needed. It is recommended for future work; the compensation of friction forces should be considered so that it enables further reduction of the tracking error especially in the segment of quadrant glitch.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Retas, Zain
author_facet	Retas, Zain
author_sort	Retas, Zain
title	Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system
title_short	Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system
title_full	Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system
title_fullStr	Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system
title_full_unstemmed	Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system
title_sort	design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of x-y table ball screw drive system
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Manufacturing Engineering
publishDate	2023
url	http://eprints.utem.edu.my/id/eprint/27730/1/Design%20of%20nonlinear%20adaptive%20interaction%20algorithm%20controller%20for%20improvement%20of%20tracking%20performance%20of%20x-y%20table%20ball%20screw%20drive%20system.pdf http://eprints.utem.edu.my/id/eprint/27730/2/Design%20of%20nonlinear%20adaptive%20interaction%20algorithm%20controller%20for%20improvement%20of%20tracking%20performance%20of%20x-y%20table%20ball%20screw%20drive%20system.pdf
_version_	1818612052522958848

Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system

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