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1、外文文献原稿和译文原稿IntroductionIn 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 the means, the production control,
2、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 genetic algorithm, the chaos theory
3、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, estimation, identify, diagnosis,
4、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, and to some in the application of t
5、he power electronics are introduced.Fuzzy Logic and Fuzzy Control1, fuzzy logic and fuzzy control conceptIn 1965, the university of California, Berkeley, computer experts Lofty Zadeh put forward fuzzy logic concept, the root lies in the areas logic or clear logic distribution, used to define the con
6、fused, unable to quantify or the problem of precision, for in a mans von basedfalse trusoning 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 analysis of blank. On the basis of fuzzy logic
7、 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 fundamental for is to deal with these the statistical uncertain
8、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 process to obtain the accurate design parameters. And for some complex system, such
9、 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 measured by the model that, but for many variables and nonlinear variation, the accur
10、ate 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 experience and knowledge accumulation, it does not need to establish equipment
11、 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 were applied and metallurgical furnace and heat exchangers control device.2, the
12、analysis method is discussedIndustrial 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 system analysis method of stability analysis has been a hot spot, comprehensive in r
13、ecent 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 stability analysis and design method, the stability condition of the relative comparis
14、on conservative.2) , sliding variable structure system analysis method3) , round stability criterion methods: use sector bounded nonlinear concept, according to the stability criterion, led to the stability of the fuzzy control.4) , POPOV criterion5) , other methods such as relationship matrix analy
15、sis, exceed stable theory, phase-plane, matrix inequality or convex optimization method, fuzzy hole-hole mapping etc, detailed information and relevant literature many, in this one no longer etc.Set Design of Fuzzy ControlThe design of the fuzzy control is a very complicated process, in general, tak
16、e 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, including 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. T
