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http://nopr.niscpr.res.in/handle/123456789/14520Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhang, Jingjun | - |
| dc.contributor.author | Gao, Ruizhen | - |
| dc.contributor.author | Zhao, Ziyue | - |
| dc.contributor.author | Han, Weisha | - |
| dc.date.accessioned | 2012-08-07T05:55:05Z | - |
| dc.date.available | 2012-08-07T05:55:05Z | - |
| dc.date.issued | 2012-08 | - |
| dc.identifier.issn | 0975-1084 (Online); 0022-4456 (Print) | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/14520 | - |
| dc.description | 521-527 | en_US |
| dc.description.abstract | This study proposed a novel control scheme for multi-body semi-active suspension system (SASS), composed of a multibody model of SASS and a fuzzy logic controller based genetic algorithm (FLC-GA). ADAMS software was utilized to complete multi-body model of a full car SASS. Simulations with random road profile at two different speeds (25 m/s & 35 m/s) demonstrated that developed FLC-GA enhances performance of full car suspension system significantly and was more effective than passive suspension response. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | NISCAIR-CSIR, India | en_US |
| dc.rights |  CC Attribution-Noncommercial-No Derivative Works 2.5 India | en_US |
| dc.source | JSIR Vol.71(08) [August 2012] | en_US |
| dc.subject | Fuzzy logic controller | en_US |
| dc.subject | Genetic algorithm | en_US |
| dc.subject | Multi-body model | en_US |
| dc.subject | Optimal design | en_US |
| dc.subject | Semi-active suspension | en_US |
| dc.title | Fuzzy logic controller based Genetic algorithm for semi-active suspension | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | JSIR Vol.71(08) [August 2012] | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 71(8) 521-527.pdf | 213.5 kB | Adobe PDF | View/Open |
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