Fuzzy Control is a kind of emerging control based on fuzzy set theory, which is a product of fuzzy system theory and fuzzy technique combined with automatic control technology. Since the birth of this science, it has produced many exploratory and even breakthrough research and application results. At the same time, this approach has gradually become an important methodology of people thinking. In 1965, the US Controlled Professional L. A. Professor Zadeh found a fuzzy set theory, providing a new tool for the description, research and processing of fuzzy phenomena. An aircraft model for the use of fuzzy collection to design the system model - the new method of the controller - fuzzy control has also been introduced. The core of fuzzy control is to use the fuzzy set theory, transform the natural language of the human control strategy into the control algorithm described by the computer-acceptable algorithm language. This method not only achieves control, but also can simulate people's thinking. Constructing the controlled object of the mathematical model for effective control. We all know that some concepts in real life are clear, such as "a" one "," man "," currency "and other concepts, for these clear concepts, often expressed in a classic collection in mathematics. But in real life is not very clear. For example, we say "Young people" concept, you can top two lines on the age axis, indicating that in two lines is young people, but outside them Isn't it a young man? Obviously, this is not good because people 's life is a continuous process. A person walks from the teenager to the youth accumulation. Similarly, a person is also a gradual process from youth into middle age. We call this kind of concept called blurred concept. The fuzzy set theory is to deal with these blurred concepts. The fuzzy control theory of fuzzy set theory is applied to automatic control. It has been developed rapidly in recent years, which is the use of intelligence when it is unable to obtain accurate mathematical models. The fuzzy controller can give effective control. For example, in steelmaking, chemical, humanities, economic systems, and medical psychological system, it is quite difficult to get the correct and precise mathematical model. For these systems, there is a large amount of priori information indicated by certain forms, as well as performance indicators specified in language. At the same time, the operator requiring the process is the basic components of the system, and the like. All of this is an inaccuracies, and the general control theory is difficult to implement, but such systems are controlled by people to be easily done. This is because the process operator's control method is based on intuitive and experience, and they take appropriate countermeasures to complete control tasks with practical accumulation, so people in summarizing the control experience of operators. Group conditional statements, then use fuzzy set theory to quantify it, enabling the controller to accept people's experience, imitating people's operational strategies, which produces a fuzzy controller based on fuzzy set theory. The proposal of fuzzy control theory is a deep change of the idea, which marks the development of artificial intelligence to a new stage. With the development of computers and their related technologies, fuzzy control is also developed by the initial classic fuzzy control to adaptive fuzzy control, expert fuzzy control and self - learning fuzzy control based on neural network. Its implementation is also achieved by the software method to develop a fuzzy computer for direct control by the software method for the microcomputer (single chip). Fuzzy control is the most practical control method in the field of intelligence. It has solved the traditional control method unable to solve the traditional control method in the field of industrial control, and in many other industries, which has made remarkable. Result. It has attracted more and more research practitioners and the majority of engineering and technicians in related fields of control theory.
