Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/30795| Title: | Design of robust model based neural controller for controlling vibration of active suspension system |
| Authors: | Yildirim, Sahin Eski, Ikbal |
| Keywords: | Active suspension;Neural network;PID controller;Robust neural controller |
| Issue Date: | Aug-2006 |
| Publisher: | NISCAIR-CSIR, India |
| IPC Code: | G06N3/02 |
| Abstract: | This paper presents a new robust model based neural controller (NC) for active suspension system (ASS)'s vibrations via feedback control approach. The proposed control system consists of a NC, a robust feedback controller, a third-order linear reference model and dynamics of ASS. The simulation examples with various standard input signals are included to demonstrate the effectiveness of the proposed control method and show significant improvement over the existing PID controller method. The robustness of the proposed NC is also analyzed with white noise disturbances on the suspension system. It is shown that the control system is robustly stable for all road disturbances. |
| Page(s): | 646-654 |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Appears in Collections: | JSIR Vol.65(08) [August 2006] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 65(8) 646-654.pdf | 1.46 MB | Adobe PDF | View/Open |
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