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Design And Optimization Of Integrated Relative Velocity Self-Sensing MR Damper

Posted on:2014-07-31Degree:MasterType:Thesis
Country:ChinaCandidate:C L JiangFull Text:PDF
GTID:2252330392471636Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
With the improvement of Magnetorheological (MR) technologies, the study andapplication of the semiactive suspension systems based on MR dampers have been paidspecial attention to. However, the dynamic sensors aligned with the MR dampers inparallel are used to need more cables and connectors. Especially, when the separatedsensors exposed directly into the harmful working environments, the reliability andpersistence of the whole system will decrease. In this dissertation, a novel structure ofintegrated relative velocity self-Sensing MR damper is proposed and its working theoryis elaborated,In the meantime, the multi-objective optimization based on nondominatedsorting genetic algorithm II(NSGA-II) is performed. Then integrated relative velocityself-Sensing MR damper prototype is fabricated and tested to verify the effectiveness ofdesign method, which lay the theoretical and technical foundation for the improvence ofreliability and the massive production. The main contents are as followed:①Adopted the principle of the the magnetic flux linkage measurement, a novelstructure of relative velocity self-sensing is proposed. And its character and workingprinciple are elaborated.②Based on the working principle of relative velocity self-sensing, the structureand the preliminary parameter model of the Integrated Relative Velocity Self-SensingMR Damper are proposed.③On the basis of the preliminary parameter model of the IRVSMRD, the staticmagnetic field of the IRVSMRD is modeled and analyzed, using the software packageof ANSYS/EMAG. The analyzing results with ANSYS show that not only is theintegrated approach of the IRVSMRD validated qualitatively, but also the structure andthe main flux paths of the IRVSMRD are rational.④Through the establishment of multi-objective optimization model and the studyof nondominated sorting genetic algorithm II (NSGA-II), the multi-objectiveoptimization for structural parameters of the IRVSMRD is performed. Finally, a set ofthe optimum parameters of the IRVSMRD is obtained⑤Based on the principle studying and the simulation validating of the IRVSMRD,the IRVSMRD prototype is developed. In order to experimentally validate theperformance of the IRVSMRD, a testing sysytem with electro-hydraulic servo vibrationtest machine is built. The experimental results indicate that the principle of the IRVSMRD is feasible.
Keywords/Search Tags:Magnetorheological Damper, Relative Velocity Self-Sensing, FiniteElement Analysis, Genetic Algorithms, Optimal Design
PDF Full Text Request
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