Application of Hybrid Taguchi-Genetic Algorithm to Robust Vibration Control of Bridge Structures with Tuned Mass Damper Subject to Time-Varying Parameter Perturbations
碩士 === 國立高雄應用科技大學 === 機械與精密工程研究所 === 94 === This thesis studies the robust vibration control of a class of bridge structure with a Tuned Mass Damper (TMD) subject to time-varying parameter perturbations. The bridge structure with a TMD is first mathematically modeled. Then, for the active vibration...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/88269425792597469583 |
| Summary: | 碩士 === 國立高雄應用科技大學 === 機械與精密工程研究所 === 94 === This thesis studies the robust vibration control of a class of bridge structure with a Tuned Mass Damper (TMD) subject to time-varying parameter perturbations. The bridge structure with a TMD is first mathematically modeled. Then, for the active vibration control, two methods are used to design the state feedback gain matrix and observer gain matrix. One method the LQG optimal control in which the Hybrid Taguchi-Genetic Algorithm (HTGA) is employed to search the weighting factors and get the state feedback gain matrix and observer gain matrix. The other is directly used the HTGA to searching the state feedback gain matrix and observer gain matrix. And then, a sufficient condition in terms of linear matrix inequalities (LMIs) is employed to guarantee that the resulting control system obtained by either method in the presence of time-varying parameter perturbations is asymptotically stable. Finally, simulation examples are given to demonstrate the use of the design methods. The results show that the HTGA design method can efficiently obtain a robust controller to reduce vibration behavior and keep the bridge structure with a TMD from the possibility of instability caused by time-varying parameter perturbations.
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