模糊控制技术外文翻译

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1、北京化工大学北方学院毕业设计（论文） 外文文献原稿和译文 1 外文文献原稿和译文 原 稿 Introduction In the modern industrial control field, along with the rapid development of computer technology, the emergence of a new trend of intelligent control, namely to machine simulation human thinking mode, using reasoning, deduce and induction, so

2、the means, the production control, this is artificial intelligence. One expert system, fuzzy logic and neural network is the artificial intelligence of several key research hot spot. Relative to the expert system, the fuzzy logic belongs to the category of computational mathematics and contain the g

3、enetic algorithm, the chaos theory and linear theory etc, it comprehensive of operators practice experience, has the design is simple and easy to use, strong anti-interference ability and reaction speed, easy to control and adaptive ability, etc. In recent years, in a process control, built to touch

4、, estimation, identify, diagnosis, the stock market forecast, agricultural production and military sciences to a wide range of applications. To carry out in-depth research and application of fuzzy control technology, the paper introduces the basic theory of fuzzy control technology and development,

5、and to some in the application of the power electronics are introduced. Fuzzy Logic and Fuzzy Control 1, fuzzy logic and fuzzy control concept In 1965, the university of California, Berkeley, computer experts Lofty Zadeh put forward fuzzy logic concept, the root lies in the areas logic or clear logi

6、c distribution, used to define the confused, unable to quantify or the problem of precision, for in a mans von based on true-false reasoning mechanism, and thus create a electronic circuit and integrated circuit of the Boolean algorithm, fuzzy logic to fill the gaps in special things in sampling and

7、 analysis of blank. On the basis of fuzzy logic fuzzy set theory, a particular things as the set of features membership, he can be in is and no within the scope of the take between any value. And fuzzy logic is reasonable quantitative mathematical theory, the mathematical basis for 北京化工大学北方学院毕业设计（论文

8、） 外文文献原稿和译文 2 fundamental for is to deal with these the statistical uncertain imprecise information. Fuzzy control based on fuzzy logic is a process of description of the control algorithm. For parameters precisely known mathematical model, we can use Berd graph or chart to analysts the Nyquist proc

9、ess to obtain the accurate design parameters. And for some complex system, such as particle reaction, meteorological forecast equipment, establishing a reasonable and accurate mathematical model is very difficult, and for power transmission speed of vector control problems, although it can be measur

10、ed by the model that, but for many variables and nonlinear variation, the accurate control is very difficult. And fuzzy control technology only on the basis of the practical experience and the operator and intuitive inference, also relies on design personnel and research and development personnel of

11、 experience and knowledge accumulation, it does not need to establish equipment model, so basically is adaptive, and have strong robustness. After many years development, there have been many successful application of the fuzzy control theory of the case, such as Rutherford, Carter and Ostergaard we

12、re applied and metallurgical furnace and heat exchangers control device. 2, the analysis method is discussed Industrial control stability of the system is discussed the premise of the problem, because of the nonlinear and not to the unity of the description, make a judgment, so the fuzzy control sys

13、tem analysis method of stability analysis has been a hot spot, comprehensive in recent years you of scholars paper published the system stability analysis has these several circumstances : 1） , LiPuYa panov method: direct method based on the discrete time (D-T) and continuous time fuzzy control stab

14、ility analysis and design method, the stability condition of the relative comparison conservative. 2） , sliding variable structure system analysis method 3） , round stability criterion methods: use sector bounded nonlinear concept, according to the stability criterion, led to the stability of the fu

15、zzy control. 4） , POPOV criterion 5） , other methods such as relationship matrix analysis, exceed stable theory, phase-plane, matrix inequality or convex optimization method, fuzzy hole-hole 北京化工大学北方学院毕业设计（论文） 外文文献原稿和译文 3 mapping etc, detailed information and relevant literature many, in this one no

16、 longer etc. Set Design of Fuzzy Control The design of the fuzzy control is a very complicated process, in general, take the design steps and tools is more normative. The fuzzy controller general use of the special software and hardware, universal hardware chip in on the market at present is more, i

17、ncluding main products are shown below. And special IC has developed very fast, it special IC and software controller integrates in together. In the process of design, the design of the general to take steps for: 1, considering whether the subject by fuzzy control system. That is considered the rout

18、ine control mode of may. 2, from equipment operation personnel place to get as much information. 3 and selecting the mathematical model could, if use the conventional method design, estimate the equipment performance characteristics. 4, determine the fuzzy logic control object. 5, determine the inpu

19、t and output variables. 6, determine the variables as determined the belonging of the range. 7, confirm the variables of the corresponding rules. 8, determine the scale coefficients. 9, if have a ready-made, mathematical model of fuzzy controller with already certain of system simulation, observatio

20、n equipment performance, and constantly adjust rules and scale coefficients until reaching satisfaction performance. Or to design fuzzy controller. 10, real-time operation controller, constantly adjust to the best performance. Fuzzy Control Application and Prospect As artificial intelligence of a ne

21、w research field, the fuzzy control absorb lessons from the traditional design method and other new technologys essence, in many fields has made considerable progress. In the new type of power electronic and automatic control system, some experts in the linear adding the conditions of the power amplifier, the application of the fuzzy control based on the servo motor control, in the fuzzy control system with the PID and model reference adaptive control (MRAC)