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1、AbstractResistancespotweldingprocessandqualitycontrolarealwaysoneofimportantresearchsubjectsinweldingfield,adoptingtheintelligentcontroltechnologyhasalreadybecomeitscertaintrend.Inthisthesis,onthebasisoffuzzycontrolandartificialneuralnetworks,theideaofs
2、potweldingqualitycontrol,whichintegratesconstantweldingcurrentfuzzycontrolwithartificialneuralnetworksforecastofspotweldingnuggetsizesispresented.Aspotweldingfuzzycontrollerisdesigned,anuggetsizesforecastmodelisestablishedandthespotweldingconstantcurren
3、tfuzzycontrollerisinitiallyrealizedinthisthesis.Firstly,thegeneralschemeofcontrolsystemismadeprincipleanalysis,thefeasibilityofrealizingfuzzycontrol,theprincipleoftestingandcomputingthevalidvalueofcurrentadoptingpoint-by-pointintegrationandtherationalit
4、yofchoosingcontrolparameterandthemethodofrealizingspotweldingnuggetsizesartificialneuralnetworksforecastaredemonstrated.Theinputandoutputvariables,fuzzylanguagevariables,field,membershipfunctionthatfuzzycontrollerdealswith,determinationofthefuzzycontrol
5、rule,themethodsoffuzzyreasoning,defuzzyingandgenerationofthefuzzycontroltableareemphaticallyanalyzedandsimulationprocessandresultsoffuzzycontrollerareintroduced.Inaddition,themethodsofestablishingspotweldingnuggetsizesmodelonthebasisofANNtechnology,thev
6、erifyingresultofestablishedmodelsandthewayofnuggetsizesforecastfunctionrealizedonthesinglemicro-computersystem,relativeassemblelanguageprogramdesigningaresystemicallydiscussedSecondly,thecentralcontroller(80C196KCsinglemicro-computer)ofthecontrolsystem,
7、themeasuringcircuitofcurrentvalidvalueandotherhard-warecircuitsthatrealizespotweldingcirclingprocessandcontrolareanalyzed.Thesoft-waresofsystemmainprogramadoptingmodularizationdesigningmethodandsubprogramofsetting,prepressing,electrifying,interruptingan
8、dfuzzycontrolaregenerallyintroduced.Finally,thedebuggingandtestingofcontrolsysteminthespotareanalyzed.Theresultmanifeststhatthemeasuringthevalidvalueofspotweldingcurrentofnon-sinewaveofthecontrolsystemagreeswiththeoneofJapancurre
