|
| Design Adaptive Artificial Inverse Dynamic Controller: Design Sliding Mode Fuzzy Adaptive New Inverse Dynamic Fuzzy Controller
|
|
Full
text: |
 PDF(568.1KB) |
|
|
Source |
International Journal of Robotics and Automation (IJRA) |
|
Table of Contents |
|
|
Download
Complete Issue PDF(0 Bytes) |
|
Volume: 3 Issue: 1 |
| |
Pages: NULL |
|
Publication
Date: February 2012 |
|
ISSN
(Online): 2180-1312 |
|
|
|
|
|
Pages |
13 - 26 |
|
Author(s) |
|
|
|
Published
Date |
21-02-2012 |
|
Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
|
ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
| |
|
| |
KEYWORDS: Inverse Dynamic Controller, fuzzy logic Methodology, Inverse Dynamic Fuzzy Controller, Adaptive Methodology, Sliding Mode fuzzy Adaptive Inverse Dynamic Fuzzy |
|
|
| |
|
|
| No
record found |
| |
|
| |
|
|
| In this research, a model free sliding mode fuzzy adaptive inverse dynamic fuzzy controller (SMFIDFC) is designed for a robot manipulator to rich the best performance. Inverse dynamic controller is considered because of its high performance in certain system. Fuzzy methodology has been included in inverse dynamic to keep away from design nonlinear controller based on dynamic model. Sliding mode fuzzy adaptive methodology is applied to model free controller to have better result in presence of structure and unstructured uncertainties. Besides, this control method can be applied to non-linear systems easily. Today, strong mathematical tools are used in new control methodologies to design adaptive nonlinear controller with satisfactory output results (e.g., minimum error, good trajectory, disturbance rejection). |
| |
|
| |
|
| |
| |
|
| |
|
| |
| |
|
| |
|
| |
| |
|
| |
|
| |
|
| Farzin Piltan : Colleagues
|
|
| Mohammad A. Bairami : Colleagues
|
|
| Farid Aghayari : Colleagues
|
|
| Sadeq Allahdadi : Colleagues
|
|
