Propulsive Velocity Optimization of 3-Joint Fish Robot Using Genetic-Hill Climbing Algorithm

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摘要 Underwaterrobotisanewresearchfieldwhichisemergingquicklyinrecentyears.PreviousresearchesinthisfieldfocusonRemotelyOperatedVehicles(ROVs),AutonomousUnderwaterVehicles(AUVs),underwatermanipulators,etc.Fishrobot,whichisanewtypeofunderwaterbiomimeticrobot,hasattractedgreatattentionbecauseofitssilenceinmovingandenergyefficiencycomparedtoconventionalpropeller-orientedpropulsivemechanism.However,mostofresearchesonfishrobotshavebeencarriedoutviaempiricalorexperimentalapproaches,notbasedondynamicoptimality.Inthispaper,weproposedananalyticaloptimizationapproachwhichcanguaranteethemaximumpropulsivevelocityoffishrobotinthegivenparametricconditions.First,adynamicmodelof3-joint(4links)carangiformfishrobotisderived,usingwhichtheinfluencesofparametersofinputtorquefunctions,suchasamplitude,frequencyandphasedifference,onitsvelocityareinvestigatedbysimulation.Second,themaximumvelocityofthefishrobotisoptimizedbycombiningGeneticAlgorithm(GA)andHillClimbingAlgorithm(HCA).GAisusedtogeneratetheinitialoptimalparametersoftheinputfunctionsofthesystem.Then,theparametersareoptimizedagainbyHCAtoensurethatthefinalsetofparametersisthe"near"globaloptimization.Finally,bothsimulationsandprimitiveexperimentsarecarriedouttoprovethefeasibilityoftheproposedmethod.
机构地区 不详
出版日期 2009年04月14日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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