| |
REAL-TIME SELF-ORGANISING FUZZY LOGIC CONTROLLER FOR DC SERVO
| [View]
[Download]
|
| Author(s) |
Hung T. Nguyen; Derek Sands |
| Abstract |
Fuzzy logic controllers (FLC) have been used to provide solutions to control systems which are either ill-defined or too complex to model. For better control quality, self-organising fuzzy logic controllers (SOFLC) have been developed recently to include a self-learning process within the fuzzy logic framework. A major disadvantage of a self-organising fuzzy logic controller is that it is highly computational intensive. In this paper, we concentrate on the development of a real-time implementation of a self-organising fuzzy logic controller for a DC servo. In particular, we propose an efficient algorithm for implementation of the essential rule reinforcer module of the self-organising process. Experimental results show that even with limited knowledge on the system plant, the controller is able to yield good performance with strong robustness. |
| Download |
| Filename: | Unnamed file |
| Filesize: | 3.114 MB |
|
| Type |
Members Only |
| Date |
Last modified 2019-05-21 by System |
| |
 |