| contributor author | Y. M. Song | |
| contributor author | Postdoctor | |
| contributor author | C. Zhang | |
| contributor author | Y. Q. Yu | |
| date accessioned | 2017-05-09T00:05:33Z | |
| date available | 2017-05-09T00:05:33Z | |
| date copyright | June, 2001 | |
| date issued | 2001 | |
| identifier issn | 1050-0472 | |
| identifier other | JMDEDB-27694#266_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/125639 | |
| description abstract | An investigation is presented into the neural networks based active vibration control of flexible linkage mechanisms. A smart mechanism featuring piezoceramic actuators and strain gauge sensors is designed. A nonlinear adaptive control strategy named Neural Networks based Direct Self-Tuning Control (NNBDSC) is employed to suppress the elastodynamic responses of the smart mechanism. To improve the initial robustness of the NNBDSC, the Dynamic Recurrent Neural Network (DRNN) controllers are designed off-line to approximate the inverse dynamics of the smart mechanism. Through on-line control, the strain crest of the flexible link is reduced 60 percent or so and the dynamic performance of the smart mechanism is improved significantly. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Neural Networks Based Active Vibration Control of Flexible Linkage Mechanisms | |
| type | Journal Paper | |
| journal volume | 123 | |
| journal issue | 2 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.1348269 | |
| journal fristpage | 266 | |
| journal lastpage | 271 | |
| identifier eissn | 1528-9001 | |
| keywords | Linkages | |
| keywords | Vibration control | |
| keywords | Actuators | |
| keywords | Artificial neural networks | |
| keywords | Piezoelectric ceramics | |
| keywords | Sensors | |
| keywords | Strain gages | |
| keywords | Adaptive control AND Control equipment | |
| tree | Journal of Mechanical Design:;2001:;volume( 123 ):;issue: 002 | |
| contenttype | Fulltext | |
