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Research On Optimization Problems Of Parameters And Allocations In Vibration Control

Posted on:2015-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:W ZhanFull Text:PDF
GTID:2298330422490973Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Strong earthquakes have occurred frequently in recent years. There are greaterand greater demands for effective approaches to building vibration attenuation,especially for the high-rise buildings. The factors that have significant effect on thecontrol performance are not only the choice of strategies and controller design butalso the parameter design of the actuators and the sensors and actuators allocation inhigh-rise buildings. It will improve the vibration control performance if anappropriate strategy is chosen and the aforementioned factors are optimized with thecontroller jointly. Moreover, in order to realize the design in actual engineering, thequantity of the sensors and the parameters, strokes and powers of the actuators shouldbe constrained within an appropriate range.An optimization approach for Multiple Active Tuned Mass Dampers (MATMD)system under seismic and wind-induced building vibration is put forward. A mixedcontrol is employed to attenuate the seismic and wind-inducedvibration of the building with the constraints of the actuating forces and strokes of themasses. Genetic algorithm (GA) is used to search the desirable parameters.A simultaneous optimization approach to the design of the MATMD and itscontroller for building vibration attenuation under seismic excitations is put forward.The approach is proposed to design the constrained static output-feedback controllerand to obtain the MATMD’s desirable parameters for the attenuation of seismicbuilding vibration over a finite frequency range.An actuators and sensors allocation approach to the design of the adjacentbuildings vibration attenuation under seismic excitation. In view of the fact that notall the states of the system can be measured by the sensors, and the output powers ofthe actuators are limited, a dynamic output feedback mixed control isemployed. GA is used to search the desirable locations.The effectiveness of all of the aforementioned approaches is verified bysimulation and performances of different strategies and approaches are compared.
Keywords/Search Tags:joint optimization, vibration control, parameter, allocation
PDF Full Text Request
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