外文文献原稿和译文原稿ＩntroductｉonIn the modern ｉｎdustｒｉal ｃonｔｒol ｆield,aｌoｎg wiｔh the rapid developmenｔof ｃompｕter teｃhnology，the emeｒgence of a new treｎd o ｆinｔelｌｉgent controｌ, ｎamely to maｃhｉnｅｓimulatiｏｎhuman tｈｉnkinｇmoｄe, using reａsｏning, deduce and indｕcｔiｏn，so the means, ｔhe prodｕction coｎtrol, thiｓiｓａrtifｉciaｌinｔelligence．Ｏne expｅrｔsｙsｔｅm，ｆｕzzy ｌogiｃaｎd ｎeuｒaｌnｅtwoｒk is ｔｈe aｒｔｉficial intｅlｌigenｃe ｏf seveｒal keｙrｅｓearch hot sｐot. Relａｔｉｖｅto ｔhe ｅxpeｒt system,tｈe ｆuzzy lｏgiｃbｅloｎgs to the category of c ｏmｐutational mａthｅｍaticｓanｄcｏntaiｎthe geｎeｔic alｇｏriｔhm，the chaｏs ｔhｅorｙanｄｌinear theorｙetc，it comprｅhｅnｓive ｏf oｐeraｔoｒs pｒactｉce experiencｅ，has thｅdesiｇn iｓsimpｌe anｄｅasy to use, stｒong anti－interfereｎce abiｌiｔyａｎd reａｃtion speeｄ，ea ｓy tｏconｔｒol and adapｔivｅabiｌity, eｔc. Ｉn recent yeａrs, iｎa proｃess conｔｒｏl,built to toｕｃｈ, esｔｉmatiｏn, iｄentify，dｉagｎosｉs, ｔｈe ｓｔocｋmａrkｅt forecａst，ａgricｕltｕraｌproｄuctioｎaｎｄmilｉtａry sciences tｏaｗideｒaｎｇe oｆａpplｉcaｔions.To carry o ｕt iｎ-ｄeptｈreｓeａrch and aｐplicatiｏn ｏｆfuｚzy contｒol technｏlｏgy, tｈe pａpeｒintroduｃes tｈeｂａsic thｅoｒy oｆfuzｚyｃｏntrol ｔｅchｎolｏgy aｎd develｏｐmenｔ，andｔo some in the applicａtiｏn ofｔhｅpower electｒonｉcs arｅintｒｏｄucｅd.Fuzzy Lｏgic anｄFuｚzｙCoｎtroｌ1,fuzzy ｌogｉc aｎd fuzzy cｏntroｌcｏｎcepｔIｎ196５,the uｎiversity of Cａliforｎiａ, Ｂｅrkｅleｙ, computer exｐeｒｔｓLｏｆｔｙZaｄeh put fｏrwaｒｄ"fuzｚｙlogic" concept,tｈe ｒoｏt lｉes iｎｔhｅarea＇sｌogｉc oｒclear loｇic distributｉoｎ, usｅｄto defｉne thｅcｏnfｕｓｅd，unabｌe to quantｉfy oｒthe problem oｆp ｒeciｓiｏn,fｏr ˙ in a man'ｓvoｎbased oｎ＂trｕe－false" ｒｅasoninｇmecｈanisｍ, and thｕs ｃreatｅa electｒonic cｉrｃｕｉt aｎd integrated circｕit of ｔhｅBoolean algoriｔhm, fuzzy ｌｏgic ｔo fｉll theｇapｓin ｓｐｅｃiａｌthings iｎsampling and analysｉs ofｂlａnk.On ｔｈe baｓiｓof fuzzy logic fuｚzy set thｅory, ａparｔicular ｔhings as the set of featurｅs membeｒsｈip, he can ｂe iｎ"iｓ" ａｎｄ"nｏ" wiｔhin the sｃｏp ｅｏｆthe takeｂｅtween any vａlue. And fuzzy lｏgicｉs ｒeasonablｅqｕantitatｉveｍａtｈｅｍatiｃａｌtｈｅｏry，the mathemａｔiｃａl basis ｆoｒfundａmｅntal for iｓto deａl with ｔheｓｅthe sｔatisｔicａl unceｒtai ｎimpreｃｉｓe information.Ｆuzzy coｎtrｏl based oｎｆuｚｚｙｌogｉc ｉｓa pｒｏcesｓo ｆdｅｓcriptｉon of the coｎｔｒｏl ａlgｏｒithｍ.Ｆｏr parameｔｅrs ｐreciselyｋnowｎｍａｔhｅｍａtiｃal ｍｏdｅl, wｅcａn use Bｅrd gｒａp ｈor cｈaｒt tｏaｎaｌｙstｓｔhe Nyｑuｉst pｒoｃess to obtain th ｅaccｕrａtｅｄeｓｉgn paｒａmetｅｒs.Anｄｆｏr some comｐlｅx system, such as paｒtiｃle rｅactiｏn, meteorｏｌｏｇical foreｃast ｅquｉpment, estaｂlｉshing a reaｓｏnａbｌe aｎd acｃuraｔe mathｅｍatｉcaｌmodｅl is veｒy ｄiｆｆｉculｔ，aｎd for ｐowｅr transmｉssioｎspeeｄof vｅctoｒｃonｔrｏl pｒoｂlems，aｌthough it can be meaｓured ｂｙt ｈe mｏdelｔhaｔ，bｕｔｆor mａny variａbles ａndｎonｌinearｖａriatiｏｎ, the accuratｅconｔｒｏl is ｖeｒy dｉffｉcult. Ａnd fuzｚy ｃoｎｔｒol ｔechnoloｇy oｎly on the basis oｆtｈｅprａctical experienｃe aｎd the operａｔor anｄintuitive infeｒeｎcｅ，aｌso relies oｎdeｓign personｎel ａn ｄreseaｒｃh and ｄeveｌopmｅnｔpｅrｓonnel of experience ａnd kｎowledge aｃcuｍulatｉｏn,iｔdｏes not needｔo esｔaｂlish equipment modｅl，ｓo basiｃａｌly is aｄａpｔive,and haveｓtrong ｒｏbusｔnes ｓ.After maｎｙyｅars deｖelopmｅnt, ｔherｅｈaｖe been manｙsｕcｃｅｓsful ａpｐliｃaｔiｏn oｆthｅfuzzy coｎｔｒol theory of tｈe case, s ｕｃh aｓRutｈｅrford, Carｔｅr and Ｏstｅrgａarｄweｒe aｐｐｌied and metalｌurgical fｕrnａｃｅａnd hｅat exchａngｅrｓcontroｌｄｅvic ｅ.２，ｔｈe ａｎalｙsis ｍｅthod ｉs ｄisｃuｓsedIｎdｕstrial coｎtrol ｓtabilitｙof tｈe ｓｙsｔｅｍisｄiscｕｓseｄtｈe prｅｍise of tｈe problem, ｂecause of ｔhe nonlinｅar ａｎd not to the unｉｔy of tｈe descriptｉon，ｍａke a judｇment，ｓｏｔｈｅfuzzy co ｎｔroｌsｙｓtｅm analyｓis method oｆstability ａnaｌysis hａs beeｎa hot ｓｐot,comprehensive ｉn reｃenｔyears yoｕof scholars paper ｐublished thｅsyｓtem stａbｉlity anａｌyｓis has ｔhese ｓevｅrａl cｉｒcｕｍstａnces :1）, LｉＰuＹa panov ｍeｔhｏd: ｄirect mｅthｏd based ｏn the dｉscrete t ｉme (D-T)and continuｏus time fuzｚy ｃontrｏl staｂiｌｉtyａnalysｉs aｎd designｍeｔhoｄ, tｈe stability condｉtion of the reｌatiｖe cｏmparis ｏｎconseｒvａtｉｖe.2）, slidｉng ｖariablｅｓtructurｅsysｔem ａnａlysis mｅthod3),ｒoｕnd stａｂiｌｉty criteriｏｎmethods: use sector boundｅd nonlｉneaｒconｃeｐｔ, aｃcordｉng to the ｓｔaｂility crｉterioｎ, lｅd ｔo the stabilｉty of ｔhｅfuzzｙconｔrｏl.4），PＯPOＶcriｔｅrｉoｎ５）, otheｒmetｈｏｄsｓuch aｓreｌaｔｉoｎsｈip ｍatrｉx anaｌｙs ｉs, exｃｅed ｓtａｂle theorｙ, ｐhasｅ-plaｎe, mａtrix iｎｅｑuality or conve ｘoptimiｚatｉｏn method，fuzzｙholｅ-hole mａpping etｃ, detailｅd informaｔion aｎd relevａnｔliteratｕｒe ｍany, in thｉs one no ｌｏngｅr ｅtc.Set Ｄeｓiｇn ｏfＦuｚzy ConｔｒolＴhe ｄeｓiｇn ｏf the fuｚzy control is a ｖery complicated process，in geｎeraｌ, take thｅｄｅsiｇn sｔeps aｎd tｏols is more nｏrｍative.Thｅfuzzｙcoｎｔｒoller ｇeneraｌuse of tｈe sｐecial sofｔware anｄｈａrdwa ｒe,universａｌhardwarｅchｉp in on the marｋeｔat presｅnt iｓｍoｒｅ, ｉncｌudinｇmain proｄucｔs aｒe sｈowｎbｅｌow. And sｐeｃial IC ｈas dｅｖｅｌｏpeｄverｙfａsｔ，ｉｔｓpecial IC and sofｔwaｒｅcont ｒoller iｎtｅgrａtesｉn toｇeｔhｅr．In the ｐrocesｓｏf ｄesign，ｔhｅｄesiｇｎｏf ｔｈｅgeneｒal to take ｓtepｓfoｒ:1,conｓｉderiｎｇwheｔhｅr the ｓubjeｃt by fuzzｙconｔrol systｅm．That is consｉderｅd tｈe ｒoutine ｃｏｎｔrｏｌmoｄe oｆｍay.2, fｒom ｅｑuipment oｐｅｒａｔiｏn ｐｅｒsonnel pｌace tｏgeｔas ｍｕch ｉｎformatiｏｎ.3 aｎd selectiｎg ｔhe mａｔhematical model could, if use tｈe conｖenｔiｏnａｌmｅthod ｄeｓign，eｓｔｉmate ｔhe equｉpment peｒformance charaｃteriｓtics.４, deｔeｒmiｎeｔhe fuｚｚy loｇiｃcoｎtrｏｌoｂject.5, ｄeｔerｍine the inpuｔand ｏｕtｐut vａriａbles．6，dｅｔermine theｖariables aｓdeteｒｍiｎed the bｅlonging of the range.7, cｏｎfｉrｍthe vａrｉａbles ｏf tｈe corｒespｏnding rules.８, ｄeterｍinｅthe scａle ｃoefficｉents.9，ｉｆhaveａready-ｍａｄｅ, mａthematicａl mｏdel ｏf fuzｚｙcoｎtrolｌer with alreａｄy cerｔａiｎof sysｔem simulation, oｂｓeｒvation equipment perfoｒmance,and conｓtantly adjustｒules and scale cｏｅfficiｅntｓｕnｔilｒｅaｃhiｎｇsａｔiｓfacｔiｏn perforｍａncｅ. Or to dｅｓｉgn fuzzy cｏntroller.１0,real-tｉｍeｏperatiｏn ｃontroller, consｔantly adjust to the best perfｏrｍance．FuzzｙＣｏntｒoｌＡpplｉcaｔion and ProsｐectＡs ａrtifｉcial inｔelligｅｎce ｏf aｎeｗｒｅseaｒｃh fielｄ, tｈｅｆｕzzyｃonｔrol ａｂsorb lesｓoｎs from the traｄitional dｅsｉgn mｅthod and oｔher neｗｔechｎｏlogy's esseｎce,ｉn manｙfields has madeｃonsideｒablｅprogrｅss. Ｉn the new tｙpｅof poweｒeｌectronic aｎｄautomaｔic cｏntrolｓｙｓtem，some exｐerｔｓin tｈe ｌｉneaｒaddｉｎg thｅconｄitiｏｎs oｆthe poweｒamplifier, the appｌｉｃatiｏn ｏf thｅfuzzy contｒol baｓｅd ｏn the servo motor contrｏl，in ｔhe fuzzyｃontrol syst ｅm wiｔhｔhe PＩＤaｎd model reｆeｒenｃｅadａpｔｉve contｒｏｌ（MRAＣ)comｐaｒｉson pｒｏvｅd tｈe aｄｖantaｇes of the method of ｆuzｚｙcontｒol. Fuzｚy ｔurn senｔgain tunｅd contｒolｌer vｉewsｏｆｔhe indｕction mｏtor driｖe sｙsｔem ｖeｃｔｏr ｃoｎtrolFuzzｙcｏntｒｏl as a is the ｄeｖeｌｏpment of nｅw ｔechnoｌｏgy, nｏw iｎmost eｘpeｒｔs also to focus oｎappｌiｃaｔiｏｎsysｔeｍｒeｓeａｒch, and make considerａｂle aｃhieｖement, bｕtｉn the thｅｏry resea ｒｃh and ｓysｔem analyｓｉｓor reｌatiｖe bacｋwaｒd, ｓｏｍuｃh so that sｏme scholａrs have qｕｅstｉoneｄits tｈeoretｉcal baｓｉs andｅffective. Ｉn view ofｔhiｓcaｎｂe ｃlear that the fuzｚy cｏntrol ｔhｅｃombinａtioｎｏf tｈeory and pｒacｔice iｓｓtillｎeedｓtｏｂe further expｌｏred. Thｅdevｅlｏpmeｎt ｐｒospｅcts are verｙaｔｔrａctivｅ, anｄin ｒecent yｅars，its theoｒetｉcaｌｓｔudy ａlso madｅsiｇnificant progreｓs．In theｐast foｒty years ｏf thｅｄevelopment process, ｔhe f ｕzzｙcontｒｏl alsｏhas somｅliｍiｔａtions: 1) conｔrol precｉsｉｏｎｌo ｗ，perfoｒmanｃe is not hｉｇh，staｂiｌiｔy is poorｅr；2)theory syｓｔｅm ｉs not coｍplete. 3) ｔhｅaｄａｐｔｉve ability low．Foｒthesｅweａｋｎｅsses,ｔhe fｕｚｚy control and sｏmｅｏtｈｅｒnew teｃhnoｌｏｇy, ｓuｃhａs ｎeｕｒalｎｅtworｋ(NN), geｎetｉc algoriｔhm,and t ｈe cｏｍbination of to a highｅrｌevel ｏｆapｐｌicatioｎｄeｖeｌoｐｍenｔeｘpand the hｕge sｐace.SummarｙＦｕzzy cｏntrol as a coｍpreｈenｓiｖｅａpｐｌication exａmple, in tｈe ｇlobaｌｉｎfｏrmaｔioｎtｈe push ｏｆwａvｅ, ｉn ｔhe nexｔfｅｗd ｅcａｄｅs, ｔo the ｒapiｄdeveｌopment of eｃoｎomy will inｊeｃｔne ｗvｉtaｌity，the exｐert thinks，thｅｎext geｎｅraｔion ｏｆindust ｒial contｒol iｓthe bａsis of ｆuzzy cｏntrol and nｅural neｔｗｏrk, and chaos tｈeｏｒy as ｔhe pｉlｌar ofｔhｅartificｉａl intｅllｉｇence.Wi ｔｈthe fuzzｙｃontｒｏｌtheory resｅarch aｎd further mｏre peｒfｅct of, the ｓcope ｏｆapplicatiｏｎoｆｔｈe grｏwingａｎd ｓupportinｇｔhe deｖelｏｐment and ｍanｕfactｕrｅoｆIC,thｅfuzzｙcoｎｔroｌwill be opｅn toｔhe fｉeld of inｄusｔriａl aｕtｏmation devｅlｏpment oｆligｈｔapplicatｉoｎprospeｃt, ｂut aｌso tｏtｈｅvaｒious aｒeａs ｏf tｈe rｅseａrchｅrs sugｇeｓｔmoｒe imｐｏrｔant taｓｋ.译文引言在现代工业控制领域,伴随着计算机技术的突飞猛进，出现了智能控制的新趋势,即以机器模拟人类思维模式,采用推理、演绎和归纳等手段,进行生产控制,这就是人工智能。