DC Motor Friction Identification With ANFIS and LS-SVM Method / Muhammad Zaiyad Ismail ... [et al.]

Ismail, Muhammad Zaiyad and Azizan, Nur Akmal and Ja’afar, Rabi’atul’adawiyah and Ayub, Muhammad Azmi and Khalid, Noor Khafifah (2017) DC Motor Friction Identification With ANFIS and LS-SVM Method / Muhammad Zaiyad Ismail ... [et al.]. Journal of Mechanical Engineering (JMechE), SI 4 (5). pp. 98-108. ISSN 18235514 (Unpublished)

Abstract

Friction has been an old age problem for any motion system to accomplish its optimum performance. Friction compensation has been identified as an effective strategy to enhance the performance of a motion system. To be able to compensate the friction in motors, the friction itself needs to be identified. Through the latest development in Artificial Intelligent, it has been obvious that the major Artificial Intelligent-paradigms are able to resemble any nonlinear functions precisely and hence, being used as one approach in friction modeling and identification. In this paper, a DC motor is selected as the representative of simple motor. A real-time experiment involving a DC motor is required in getting the best velocity to friction torque relationship. By using MatLab, the friction modeling data is trained with two different methods, which are Adaptive Neuro-Fuzzy Inference System (ANFIS) and Least Squares Support Vector Machine (LS-SVM). The performance of both methods is compared and analysed.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ismail, Muhammad Zaiyad
zaiyad13@yahoo.com.my
Azizan, Nur Akmal
UNSPECIFIED
Ja’afar, Rabi’atul’adawiyah
UNSPECIFIED
Ayub, Muhammad Azmi
UNSPECIFIED
Khalid, Noor Khafifah
UNSPECIFIED
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
UiTM Journal Collections: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 18235514
Volume: SI 4
Number: 5
Page Range: pp. 98-108
Keywords: ANFIS; LS-SVM; DC Motor; Friction Modeling
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/39327
Edit Item
Edit Item

Download

[thumbnail of 39327.pdf] Text
39327.pdf

Download (861kB)

ID Number

39327

Indexing

Statistic

Statistic details