输电线除冰机器人多传感器信息融合障碍物信息检测方法(3)

2021-01-20 15:35

输电线除冰机器人多f々感器信息融合障碍物信息柃测方i:左

Abstract

Multi-sensor

techniquesforobstacleinfomationdetectionanddatafusionisononeofthekeyofautonomousdeicingrobothighVoltagetransmissionline.The

suspensiononobstaclessuch嬲

Voltagecounterweight,lineshouldinsulator,stminclampandmeasuredhightotl‘ansmission

andbeaVoideff色ctiVeIyand

onf.ordeicingAccordingrobottointelligentlyautonomouslycrossobstacles.thecharacteristicsanddistributionofobstacles220KVtransmissionline,aseriesof

onmethodsf.orobstacleinfbrmationdetectionanddata如sionbased

systemaremulti.sensorfollows:putforwardinthisthesis.Themainstudiesinthispaper

onareasFirstly,adetailedanalysiskeyissuesofmethodsforobstacleinf.011口1ation

aredetectionanddata缸sionofautonomousdeicingrobot

a玎daputforwardinthisthesis,multi—sensorobstacledata如sionsystemisdeVeloped.

onSecondly,themodelformulti—sensorobstacledata向sionsystemofrobot

transmissionlineisbuilt.Theobstacledetectionsystemandequationofsystemstate

aredesigned.

’I’hirdly,amethodofobstacledatafhsionbasedonneuralnetworkisresearched.

sensorMethodsoff.eatureextractionanddataassociationf.ordataprocessingare

giVen.Aappropriateneuralnetwork

withadaptiVeconVergencerate

accuratedataonaredata向sionmodelanditsBPlearningalgorithmaproposed.goodconvergenceresultsandareseriesofMulti-sensorobstaclef.usion

wayobtained.based

atonAtlast,anotherisofinfo咖ation向sionextendedKalmanfilterare(EKF)alsostudiedinthispaper.Aimed

statethenonlinearmulti-sensoronsystem,themodeland

forwardtoreceiVenewequationofobstacledata如sionbasedEKFareputdatafilterandforecastprocessmethod.Multi—sensorobstacle

fhsiondatawithhigherintegrationaccuracyandmorerapidconVergencethanneural

networkafeobtained.

Keyword:DeicingRobot;Multi—sensorData

Network:ExtendKalmanFilterFusion;ObstacleDetection;Neural

lIl


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