機(jī)械專業(yè)外文翻譯固定卷揚(yáng)式啟閉機(jī)的模糊優(yōu)化

1、外文資料翻譯學(xué)生姓名： 專業(yè)班級： 指導(dǎo)教師： fuzzy - optimization on fixed cable hoist0 prefacelong-term since, hydropower engineering fixed roll yang type hoist (hereinafter referred to hoist) design have been used for experience, not only logic.analog design method for the design cycle longer, and only a few scheme co

2、mparison and analysis, no exact evaluation standard to measure have options, there is get judged almost optimal design. with the development and application of the electronic computer, it can establish a design process automatically choose the most effective method of optimal scheme, namely optimiza

3、tion design. this design method is mathematical programming and computer technology, the combination of the solution of complicated design problem can become a tool. however, due to design some factors such as loading properties, material quality is difficult to use mathematical quantity said, leadi

4、ng to the design ambiguity. ordinary optimization method has not considered these fuzzy factors, lack of treating fuzzy concept means and methods, many factors of artificial as determined to undertake handling, or randomness often missed the real optimization scheme and even contradictory results. t

5、his is hoist ordinary optimization design difficult to really be engineering and technical personnel to accept the root causes of the place. hoist the fuzzy optimization can overcome the shortcomings, it common optimization study of hoist optimization process prevalent ambiguity, using the theory of

6、 fuzzy mathematics and systematically analyzing the machine and pulley institutions, hoisting, a transmission mechanism and frame structure, electrical systems and so on various agencies internal and external links, reasonably determine the parameters, calculation and in order to achieve optimizatio

7、n purposes. using fuzzy optimization design not only can break through the traditional design pattern, overcome experience, is used by many analogy or assumptions and simplify the calculation formula is derived for design, checking, calculation, and many limitations when can overcome ordinary fuzzy

8、optimization design problem, a rigid ignore the constraint conditions of faults, make complex problems, blur variable accurate constraint conditions for fuzzy constraint conditions, make a design more quickly and more accurate, more reliable and more convenient. this method can greatly shorten the d

9、esign cycle, reduce product material consumption, improve product precision and performance, and access to the huge economic benefits. therefore, hoist the fuzzy optimization will become the industry many researchers pursuit of the goal.1 fuzzy optimization research reviewed1.1 fuzzy technologyin 19

10、65, the united states california university professor l. a. zadeh fuzzy (firstly put forward the concept of fuzzy) set theory, viam. sugeno, based on the efforts, many scholars in the 1970s established a better fuzzy mathematics theory system. in fuzzy mathematics theory developed on the basis of hi

11、gh-tech - fuzzy technology is only 20 years history, but it in mechanical, electrical, chemical industry, light industry, aviation, civil, geology, water conservancy, meteorology, enterprise management and social economic and other fields, the booming its application has created huge economic benefi

12、ts and social benefits. japan in order to ensure that the competitiveness of the 21st century, establishing fuzzy basic research, fuzzy computer, machine intelligence, man-machine system, people and social system and natural systems and so on six fuzzy technology key areas for development. the unite

13、d states unwilling fall behind, mainly discussed the neural network and fuzzy logic, and held the combination of once international fuzzy technology seminar. france to tide neuro-fuzzy institute was established to comprehensive plan to develop fuzzy technology. germany's electronic and informati

14、on department has made fuzzy technology, as one of the important research topic. the american market information research company (mibc) latest survey results show that by the end of this century, fuzzy technology world markets will be 30 times greater than it is now. fuzzy technology research in ja

15、pan, the united states, germany, france, south korea and other countries is already achievement. our country in fuzzy technology research has their own characteristics, main performance in fuzzy mathematics theory research is very strong, but the lack of discipline, the crossover between application

16、 background is not obvious, the driving force is not strong, the actual application research is weak links.1.2 fuzzy medicinein the past 10 years, the domestic and foreign some mechanical science worker is continuous efforts, the fuzzy method used in the machinery science with classic set describing

17、 all concept, principle and method, the fuzzy mathematics extended to skinned people to the theory of complex and dynamic mechanical system fuzziness of understanding, gradually formed and improved fuzzy mechanical science and technology theory system, the fuzzy medicine has research or are subjects

18、 of study are:(1) artificial intelligence and fuzzy expert system;(2) fuzzy robot technology;(3) fuzzy neural network;(4) the fuzzy control theory and applications.(5) fuzzy identification and fault diagnosis(6) the fuzzy comprehensive evaluation;(7) fuzzy clustering;(8) the fuzzy optimization;(9) f

19、uzzy reliability.all of these research subject all achieved research results and are made important progress.1.3 mechanical fuzzy optimizationin mechanical parts and mechanical system design, design quality standard, material strength and applicable scope, certain load distribution and properties, e

20、specially focusing on the economy and efficiency of optimization, all the indicators are fuzzy, the application of the fuzzy optimization theory can willin the design of the fuzzy factors and fuzzy information given by reasonable quantitative restraint function, the objective function of the allowab

21、le value, expectations and fuzzy distribution function to reflect the experience, views and expert the design criterion of some recognized. southwest jiaotong university professor huanghongzhong studied the basic idea of fuzzy optimal machine the fuzzy optimization problem, research into the method

22、of fuzzy optimization problem. shandong university of technology was studied chenju hua's fuzzy multi-objective optimization method, the optimum similarity scale, mathematical, the weighting factor and sexual modal analysis, etc. all these studies have made great progress. at present, the mechan

23、ical structure of fuzzy optimization has made great achievements, institutions and overall fuzzy optimization still needs further research.1.4 domestic hoist optimization researchhoist the traditional design method to classical mechanics and mathematical basis, using half theory, half the design met

24、hod and experience of analogymethod, design process, cycle is long, repeatedly design accuracy is poor. in recent years, with the rapid development of the computer technology, and many crossdisciplines of modem design methods get applications such as limit state design and optimization design, relia

25、ble design, cad, finite element method, the dynamic simulation design, modular design, three design, universal design. these modern design method makes hoister design into the innovation, high quality, and high efficiency of the new stage. among them, the optimization design research the most widely

26、 used. wuhan university of hydraulic and electric engineering professor lichun studied the hoister for scheme optimization modeling, optimization methods, hoist cad; the original electric xueruibao professorial senior indo-china survey and design institute studied hoist expert system; china mining u

27、niversity professor sunyoulan studied the structural optimization hoister, all these studies have yielded fruitful results. unfortunately, so far, these results haven't all the practical application engineering design and manufacturing. with fuzzy mechanical science and technology development, h

28、oist the fuzzy optimization research will become the important industry development direction. because fuzzy optimization reflects intermediary transition widespread fuzziness, reflect the quantitative study from physical fields into one of field must meet fuzzy concepts, reflect the hoist system mu

29、st involve various fuzzy factors, reflect the quantitative value of fuzzy attribute, which will push the optimization of hoister enter a new climax, thus developed can be engineering of generally accepted new achievements in scientific research.2 hoist fuzzy optimization practical significancehydrop

30、ower resources in our country have 37853 million kilowatts, including 90 % for development, hydropower development static 35582 billion yuan, invest about total investment accounts for hoister of 3 %, expected by fuzzy optimization, can save cost 20 %, therefore, can save investment 214 billion yuan

31、.3 hoiste is the development direction of fuzzy optimizationwater conservancy and hydropower engineering system from the current the actual situation, the hoist fuzzy optimization should focus on systematically studied and discussed hoister key technology of fuzzy optimization to obtain system and i

32、ts institutions of universal model of fuzzy optimization and use these theory and method guiding hoister fuzzy optimization software design, so as to get strong function, moderate scale, and can be effectively applied in engineering practical computer aided analysis tool. these key technology concre

33、te main-showing in:(1) research hoister are fuzzy design, organization of the fuzzy optimization general organization pattern.(2) analysis and realize the computer aided design, process, the prototype system for practical engineering to provide a cheap effective analysis tools, at the same time for

34、further system extension lay a good foundation.hoist fuzzy optimization development:(1) the hoister, fuzzy design including the design parameters of fuzzy description, design constraints transition improvement.(2) the whole hoister fuzzy optimization strategy, research institutions and son agencies

35、role, fuzzy leading parameters and fuzzy function parameters and fuzzy internal parameter descriptions.(3) to discuss the fuzzy optimization scheme based on hoister of fuzzy decision.(4) research hoister of multi-objective fuzzy optimization model, discusses the solution.(5) research frame structure

36、 and hoisting and other important son institutions the fuzzy optimization.(6) research rope drum production process of fuzzy optimization of process parameters.固定卷揚(yáng)式啟閉機(jī)的模糊優(yōu)化0 前言長期以來,水利水電工程固定卷揚(yáng)式啟閉機(jī)(簡稱啟閉機(jī)) 的設(shè)計(jì)一直沿用經(jīng)驗(yàn)的類比設(shè)計(jì)方法,不僅所需的設(shè)計(jì)周期較長,而且只在少數(shù)幾個(gè)方案中進(jìn)行比較分析,沒有精確的評價(jià)標(biāo)準(zhǔn)來衡量所選擇方案的優(yōu)劣,一般很難得到近乎最優(yōu)的設(shè)計(jì)方案。隨著電子計(jì)算機(jī)的發(fā)展與應(yīng)

37、用,可以建立一種設(shè)計(jì)過程自動選取最優(yōu)方案的有效方法,即優(yōu)化設(shè)計(jì)。這種設(shè)計(jì)方法是數(shù)學(xué)規(guī)劃與計(jì)算機(jī)技術(shù)相結(jié)合的產(chǎn)物,能夠成為解決復(fù)雜設(shè)計(jì)問題的一種工具。然而,由于設(shè)計(jì)中某些因素如載荷性質(zhì)、材質(zhì)優(yōu)劣很難用確定的數(shù)學(xué)量表示,導(dǎo)致了設(shè)計(jì)的模糊性。普通優(yōu)化方法沒有考慮這些模糊因素的影響,缺乏處理模糊概念的手段和方法,把許多因素人為地當(dāng)成確定的或隨機(jī)性地進(jìn)行處理,往往漏掉了真正的優(yōu)化方案,甚至帶來矛盾的結(jié)果。這就是啟閉機(jī)普通優(yōu)化設(shè)計(jì)難以真正被工程技術(shù)人員接受的根本原因所在。啟閉機(jī)的模糊優(yōu)化能夠克服普通優(yōu)化的缺點(diǎn),它研究啟閉機(jī)優(yōu)化過程中普遍存在的模糊性,運(yùn)用模糊數(shù)學(xué)的原理,系統(tǒng)地分析整機(jī)及其滑輪機(jī)構(gòu)、卷揚(yáng)機(jī)構(gòu)

38、、傳動機(jī)構(gòu)、機(jī)架結(jié)構(gòu)、電氣系統(tǒng)等各機(jī)構(gòu)的內(nèi)在和外在聯(lián)系,合理地確定和計(jì)算各項(xiàng)參數(shù),以期達(dá)到最優(yōu)化的目的。采用模糊優(yōu)化設(shè)計(jì)不僅可以突破傳統(tǒng)的設(shè)計(jì)格局,克服經(jīng)驗(yàn)的、類比的或采用由許多假設(shè)和簡化導(dǎo)出的計(jì)算公式進(jìn)行設(shè)計(jì)、校核、計(jì)算時(shí)的諸多局限,而且可以克服普通優(yōu)化設(shè)計(jì)無視模糊問題,采用剛性的約束條件的缺點(diǎn),使復(fù)雜問題模糊化,變精確的約束條件為模糊約束條件,使設(shè)計(jì)更快速、更精確、更可靠、更方便。這一方法可以大大縮短設(shè)計(jì)周期,降低產(chǎn)品材料消耗,提高產(chǎn)品精度和性能,并獲得巨大的經(jīng)濟(jì)效益。因此,啟閉機(jī)的模糊優(yōu)化將成為本行業(yè)眾多研究人員追求的目標(biāo)。1 模糊優(yōu)化研究綜述1.1 模糊技術(shù)1965 年, 美國cali

39、fornia 大學(xué)l. a. zadeh教授首次提出了fuzzy (模糊) 集論的概念,經(jīng)m. sugeno 、汪培莊等眾多學(xué)者的努力,于70 年代末建立了比較完善的模糊數(shù)學(xué)理論體系。在模糊數(shù)學(xué)理論基礎(chǔ)上發(fā)展起來的高新技術(shù)模糊技術(shù)雖只有20 余年的歷史,但它在機(jī)械、電氣、化工、輕工、航空航天、土木、地質(zhì)、水利、氣象、企業(yè)管理和社會經(jīng)濟(jì)等領(lǐng)域的發(fā)展勢頭迅猛,其應(yīng)用已創(chuàng)造了巨大的經(jīng)濟(jì)效益和社會效益。日本為了確保21 世紀(jì)的競爭力,確定了模糊基礎(chǔ)研究、模糊計(jì)算機(jī)、機(jī)器智能、人機(jī)系統(tǒng)、人與社會系統(tǒng)、自然系統(tǒng)等六個(gè)模糊技術(shù)的重點(diǎn)發(fā)展領(lǐng)域。美國不甘落后,重點(diǎn)討論模糊邏輯與神經(jīng)網(wǎng)絡(luò)的結(jié)合問題,并舉辦過一次國

40、際性的模糊技術(shù)研討會。法國順應(yīng)潮流地成立了神經(jīng)模糊研究所,用以全面地計(jì)劃開發(fā)模糊技術(shù)。德國的電子和信息部門也把模糊技術(shù)作為重要的研究課題之一。美國市場信息研究公司(mibc) 最新調(diào)查結(jié)果表明,到本世紀(jì)末,模糊技術(shù)的世界市場將比現(xiàn)在大30 倍。模糊技術(shù)的研究在日、美、德、法、韓等國已成果累累。我國在模糊技術(shù)的研究方面具有自己的特色,主要表現(xiàn)在模糊數(shù)學(xué)理論研究實(shí)力較強(qiáng),但缺乏學(xué)科間的交叉,應(yīng)用背景不明顯,研究的驅(qū)動力不強(qiáng),實(shí)際應(yīng)用研究更是薄弱環(huán)節(jié)。1.2 模糊機(jī)械學(xué)近10 年來,國內(nèi)外一些機(jī)械科學(xué)工作者正在不斷努力,使用模糊方法將機(jī)械科學(xué)中一切能用經(jīng)典集合描述的概念、原理和方法加以推廣,采用模糊數(shù)學(xué)理論來刻劃人們對復(fù)雜的、動態(tài)的機(jī)械系統(tǒng)的模糊性的認(rèn)識,逐步形成和完善了模糊機(jī)械科學(xué)與技術(shù)的理論體系,模糊機(jī)械學(xué)已經(jīng)研究或正在研究的課題有:(1) 人工智能與模糊專家系統(tǒng);(2) 模糊機(jī)器人技術(shù);(3) 模糊神經(jīng)網(wǎng)絡(luò);(4) 模糊控制理論及應(yīng)用;(5) 模糊識別與故障診斷(6) 模糊綜合評判;(7) 模糊聚類;(8) 模糊優(yōu)化;(9) 模糊可靠性。所有這些研究課題都取得了研究成果并正在取得重要進(jìn)展。1.3 機(jī)械模糊優(yōu)化在機(jī)械零部件和機(jī)械系統(tǒng)設(shè)計(jì)中,設(shè)計(jì)的優(yōu)劣標(biāo)準(zhǔn)、材