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Piezoelectric Intelligent Truss Structures Vibration Control Of ADRC Under Earthquake

Posted on:2014-04-02Degree:MasterType:Thesis
Country:ChinaCandidate:S K ZhouFull Text:PDF
GTID:2252330422454960Subject:Disaster Prevention
Abstract/Summary:PDF Full Text Request
The light_quality truss structure has the complex dynamic characteristics,such aslarge flexiblity,small damping, intensive modes, high degree of modal coupling andmultiple uncertainties and couplings,which usually bring great harm to the structuralsafety due to the large vibration amplitude under the earthquake.It is can inhibit thestructural seismic response frequently that Using the Smart Materials to make activecontrol of structure,therefore reducing the burden of structural vibration and improvingstructural safety. At present,The control technology of80%of the actual projectapplication is PID,ADRC control technology is derived from the modified_PID controltechnology, and far beyond the PID technology, its adaptability and intelligencecontrol function makes it have a wide application prospects. Do analogue simulation onthe structure of piezoelectric bar system Based on ADRC controller and prove that thethe ADRC control technology also has good control performance in structural vibrationcontrol. The main work and research contents of this article:1、 introducing the algorithm of ADRC controller and its’ composition module, aswell as the principle of each module; and introducing the decoupling process ofMulti-Degree-of-Freedom structural vibration systems for multivariable systems. Bringthe structural vibration equation as the breakthrough point and analysis the track&estimation process of ESO module which is the core of the ADRC controller.2、 Using genetic algorithms and the separate principle for ADRC design thathigh_quality controller depend on high-performance ESO and NLSEF modules,andstepwise_optimize designing the parameters of ESO module and NLSEF module. then on the basis of the parameters, analogue simulation of the three-layer structure modelunder different seismic waves and step load. the simulation results show that the ADRCcontroller has good control performance for structural vibration systems. Does notconsider the energy consumption controlling, the control effect on the structure is verygood. Taking into account the vibration displacement and control force input, due to theparameters that from application of genetic algorithm optimization can not guaranteethe best,the ADRC is less the LQR on its control effect, but on the whole, ADRCcontrol effect with LQR control effect is counterpart. ADRConly need the feedbackinformation that the displacement of measuring point in the application. ADRC musthave broader application prospects than the LQR algorithms and other intelligentalgorithms because of its simple application and its characteristics that no depend on thesystem mathematical model and immunity for uncertainties.3、 Duo to structure control is ultimately applied through the actuator to thestructure, the location and number of the actuators directly affects the control effect.The process of studies on the optimization of the actuator usually as follows:firstaccording to different single or multiple optimized configuration guidelines, establishthe fitness function, then by search algorithm optimization and solve. The defects of thesearch algorithm itself often makes the results of optimal allocation mixed. Through theKiewitt network shell model actuator configuration,from the concept of extraction ofthe actuator arrangement principle, verify the existence of the vibration "skeleton". Bymeans of the actuator concept layout principles, you can both optimize theconfiguration results from the large number of actuators chooses the optimumconfiguration, and configuration results in line with the concept of layout principles asthe initial population, to the greatest extent to avoid the local convergence problem inthe search process.
Keywords/Search Tags:actuator to pressure structure of poles Department, Active Control, ADRCcontroller, multivariable decoupling, parameter tuning optimization, search algorithm, optimal allocation
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