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1、東南大學(xué)碩士學(xué)位論文模糊神經(jīng)網(wǎng)絡(luò)及其在熱工建模與控制中的應(yīng)用研究姓名：楊世忠申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：熱能工程指導(dǎo)教師：呂劍虹20070601摘要AbstractWiththeapplicationofDesinautomaticcontrolsystemforthermalpowerplant，advancedcontrolstrategieshavebeenadoptedintIlerTnalprocessescontr01．But∞whatCallbeseerli11manythermalpowerplant，weyetcanno
2、tobtaingoodperformanceinthermalprocessescon訂ol，becausethetraditionalPIDcontrolsystemshavebeenwidelyusedinalmosta11thethelTnalpowerplants，whichhasabadeffectonthesafetyandeconomicalefficiencyofpowerplants．111emainrel舶onsare∞follows．First,whenthethermalsystems’statechange,
3、thedynamicperfommceofcontrolledplantsoftenvariedgreatly,whichmeansthatthereisseriousnonlinearityincontrolledplants．SothetraditionalPIDcontrolsystem,whichisdesignedonthebasisofplantscharaeteristieonterrainloadpoint，cannotbeusedtorealizeprocessoptimaleontrolinwholeloadran
4、ge．Inaddition．onthecontrarytothelinearityofPIDeontr01systems，therearenonlinearresponsesincontrolledplants．Asweallknow,nomatterhowweimprovetheeapabilityoflinearPDcontrolsystems．theremustbealimitationintheimprovementofcontroleffects．Soweshouldadoptnewoptimalcontrolsystems
5、whicharebasedonwholenonJinearmodelsforthermalprocessestoimprovethecontrolperformance．Obviously，thewholenonlinearmodelingforthermalprocessesisthebasistooptimalcontrolinwholeloadrage．Thefuzzysystemhasseveraladvantages：itcalldepicttheuncertaintyofplantswell；ithasacapabilit
6、yofuniversalapproximation；itssinglerulecanapproachthelocaldynamicscharacterizationofthenonlinearsystem；itsmodelingresultisrelativelytransparent．AUofthesevirtuesareinfavorofthedesignandapplicationofhi曲．performancemodelcontroller．What’smore，duetothepowerfulabilityofnonlin
7、earfunctionsapproximation，andwiththecharacteristicsofadaptivelearning，parallelanddistributedprocessing，strongrobustnessandfaulttolerance，ArtificialNeuralNetwork(ANN)hasbeenaneriectiveapproachtomodelandcontr01theunknownanduncertainoontrolsysreins．Justonthebasisof出eseappl
8、icailonbackground．thispapercombinesANNwithfuzzysystem,andstudiestouscFuzzyNenralNetwork(FNN)tosolvethecorrelat
