毕业设计外文翻译

外文文献原稿和译文

原稿

Introduction

In 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 andFuzzyControl

1,fuzzy logic and fuzzy controlconcept

In1965,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 circ

uit 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 discussed

Industrial control stabilityof the systemisdiscussedt

he 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 method

3),round stability criterionmethods: use sector bounded nonlinearconcept, according to the stability criterion, led to the stability of thefuzzycontrol.

4),POPOVcriterion

5), 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 Control

The 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 syst

em.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 Prospect

As 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 control

Fuzzycontrol 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.

Summary

Fuzzy 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。其中专家系统逻辑和神经网络是人工智能的几个重点研究热点。相对于专家系统,模糊逻辑属于计算数、模糊学的范畴,包含遗传算法,混沌理论及线性理论等内容,它综合了操作人员的实践经验,具有设计简单,易于应用、抗干扰能力强、反应速度快、便于控制和自适应能力强等优点。近年来,在过程控制、建摸、估计、辩识、诊断、股市预测、农业生产和军事科学等领域得到了广泛应用。为深入开展模糊控制技术的研究应用,本文综合介绍了模糊控制技术的基本理论和发展状况,并对一些在电力电子领域的应用作了简单介绍。模糊逻辑与模糊控制

1.模糊逻辑与模糊控制的概念

1965年,加州大学伯克利分校的计算机专家Lofty Zadeh提出“模糊逻辑”的概念,其根本在于区分布尔逻辑或清晰逻辑,用来定义那些含混不清,无法量化或精确化的问题,对于冯˙诺依曼开创的基于“真-假”推理机制,以及因此开创的电子电路和集成电路的布尔算法,模糊逻辑填补了特殊事物在取样分析方面的空白。在模糊逻辑为基础的模糊集合理论中,某特定事物具有特色集的隶属度,他可以在“是”和“非”之间的范围内取任何值。而模糊逻辑是合理的量化数学理论,是以数学基础为为根本去处理这些非统计不确定的不精确信息。

模糊控制是基于模糊逻辑描述的一个过程的控制算法。对于参数精确已知的数学模型,我们可以用Berd图或者Nyquist图来分析家其过程以获得精确的设计参数。而对一些复杂系统,如粒子反应,气象预报等设备,建立一个合理而精确的数学模型是非常困难的,对于电力传动中的变速矢量控制问题,尽管可以通过测量得知其模型,但对于多变量的且非线性变化,起精确控制也是非常困难的。而模糊控制技术仅依据与操作者的实践经验和直观推断,也依靠设计人员和研发人员的经验和知识积累,它不需要建立设备模型,因此基本上是自适应的,具有很强的鲁棒性。历经多年发展,已有许多成功应用模糊控制理论的案例,如Rutherford,Carter 和Ostergaard分别应用与冶金炉和热交换器的控制装置。

2.分析方法探讨

工业控制系统的稳定性是探讨问题的前提,由于难以对非线性和不统一的描

述,做出判断,因此模糊控制系统的分析方法的稳定性分析一直是一个热点,综合近年来各位学者的发表的论文,目前系统稳定性分析有以下集中:

1), 李普亚诺夫法:基于直接法的离散时间(D-T)和连续时间模糊控制的稳定性分析和设计方法,相对而言起稳定条件比价保守。

2),滑动变结构系统分析法

3),圆稳定性判据方法:利用扇区有界非线性概念,根据稳定判据可推导模糊控制的稳定性.

4),POPOV判据

5),其他方法如关系矩阵分析法,超稳定理论,相平面法,矩阵不等式或凸优化法,模糊穴穴映射等,详细资料及有关文献很多,在这里不再一一阐述。

模糊控制的设置设计

模糊控制的设计是一个非常复杂的过程,一般而言,采取的设计步骤和工具比较规范。其中模糊控制器一般采用专用软硬件,通用型的硬件芯片在目前市场上比较多,其中主流产品如下表所示。而专用IC发展也很迅速,它把专用IC 和软件控制器集成在一起。

设计过程中,一般采取的设计步骤为:

1,综合考虑该课题能否采用模糊控制系统。即考虑采用常规控制方式的可能。

2,从设备操作人员处获取尽可能多的信息。

3,选取可能的数学模型,如果用常规方法设计,估计设备的性能特点。

4,确定模糊逻辑的控制对象。

5,确定输入输出变量。

6,确定所确定的各个变量的归属范围。

7,确定各变量的对应规则。

8,确定比例系数。

9,如果有现成的数学模型,用已确定的模糊控制器对系统仿真,观测设备性能,并不断调整规则和比例系数直到达到满意性能。否则重新设计模糊控制器。

10,实时运行控制器,不断调整以达到最佳性能。

模糊控制应用与前景展望

作为人工智能的一种新研究领域,模糊控制吸收借鉴了传统设计方法和其他新技术的精华,在诸多领域取得了长足的进展。在新型的电力电子和自动控制系

统中,有些专家在线性功放的加设条件下,把模糊控制应用于为基础的伺服电机控制中,在把模糊控制系统与PID及模型参考自适应控制(MRAC)进行比较后证明了模糊控制方法的优越性。

模糊控制作为一项正在发展的新技术,目前在大多数专家还把主要精力放在应用系统研究上,并取得了相当的成果,但在理论研究和系统分析上还是相对落后的,以至于一些学者质疑其理论依据和有效性。鉴于此可以明确得知:模糊控制理论和实践的结合仍有待于进一步探索。其发展前景是十分诱人的,而且在近年来,其理论研究也取得了显著进展。在近四十年的发展进程中,模糊控制也有一些局限性:1、控制精度低,性能不高,稳定性较差;2、理论体系不完整;3、自适应能力低。对于这些弱点,模糊控制与一些其他新技术,比如神经网络(NN),遗传算法相结合,向更高层次的应用发展拓展了巨大的空间。

总结

模糊控制作为一门综合应用范例,在全球信息化浪潮的推动下,在未来的几十年中,必将对经济的迅猛发展注入新的活力,有专家认为,下一代工控的基础是模糊控制,神经网络,混沌理论为支柱的人工智能。随着模糊控制理论研究的日益完善和深入,应用范围的日益扩大和配套IC的研发制造,模糊控制将给工控领域的发展开辟光明的应用前景,同时也给各领域的研究人员提出了更重大的任务。

毕业设计外文翻译

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毕业设计开题外文翻译完整

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