Hasim, Norhaslinda and Chong, Shin Horng and Khor, Hooi Khee (2016) Disturbance Observer-Based Motion Control For A Simple Direct Drive System. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC) , 8 (5). pp. 41-47. ISSN 2180-1843
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[2016JTEC] Disturbance observer based motion control for a simple direct drive system.pdf - Published Version Restricted to Registered users only Download (881kB) |
Abstract
Direct drive system is the driving part that is directly connected to the driven part without using a gearbox. The advantages of direct drive system are frictionless, high efficiency, noise reduction and high torque, produced at low speed. However, the direct drive motor system has its limitation, which is sensitive to the disturbance and parameter variation. In this paper, a proportional derivative controller with disturbance observer (PDDO) is designed to achieve high positioning performance of the direct-drive system in the presence of mass and disturbance force variations. The direct-drive system in this paper is driven using voice coil motor. The disturbance observer controller is relatively easier to design than the other advanced controllers and often shows higher robust to the disturbance force and model parameter change, as compared to the conventional controller. The positioning performance of PDDO controller is evaluated and compared with a PID controller, which is designed to have similar sensitivity as the PDDO control. The positioning performance of the controllers is examined in the presence of different mass and disturbance force. Overall, the PDDO has demonstrated better robust performance as compared to the PID controller.
Item Type: | Article |
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Uncontrolled Keywords: | Direct Drive System; Voice Coil Motor; PD Controller with Disturbance Observer (PDDO); Robust performance |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Electrical Engineering > Department of Control, Instrumentation & Automation |
Depositing User: | Mohd. Nazir Taib |
Date Deposited: | 25 Oct 2018 04:38 |
Last Modified: | 13 Jul 2021 22:56 |
URI: | http://eprints.utem.edu.my/id/eprint/21158 |
Statistic Details: | View Download Statistic |
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