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Disturbance Force Suppression In Linear Motor Drive System

Tan, Siew Chen (2019) Disturbance Force Suppression In Linear Motor Drive System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

In any positioning system, the presence of disturbance forces reduces tracking and positioning accuracy. In order to ensure precision, these forces acting directly on the drive system must be efficiently compensated. The aim of this study was to suppress disturbance forces acting on a linear drive system thus ensuring high precision and accuracy. Linear motor is an electric motor that consists of stator and rotor which create straight line motions without rotary to linear motion conversion thus improving system stiffness and accuracy. Disturbance forces such as friction forces and cutting forces act directly onto the linear motor drive system and must be suppressed in order to provide accuracy and quality of the final product. Disturbance force observer is a type of estimator used in this project to estimate explicitly the disturbance force. The Disturbance force observer was designed and simulated using MATLAB/Simulink; a numerical and control design software. A cascade P/PI controller was the default position controller and together with the disturbance observer suppressed the disturbance forces using the estimated disturbance forces. Estimator errors and position errors were analysed to validate the observer accuracy. The observer variable gain parameter, M was designed for the range 0.031 to 0.139 while the time delay was designed for the range 0.125s to 0.224s. Results showed that the estimation errors ranged from 0.00001272 to 0.2776 volt for input disturbance of 0.3 to 0.5 volt and 2 to 4.5 Hz respectively while the position errors ranged from 0.0103 to 2.2760 micron.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Electric motors, Linear, Magnetic levitation vehicles
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKP
Depositing User: Sabariah Ismail
Date Deposited: 03 Dec 2020 07:42
Last Modified: 20 Dec 2023 01:03
URI: http://digitalcollection.utem.edu.my/id/eprint/24855

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