浅谈智能控制的发展与应用（Development and application of intelligent control）.doc

浅谈智能控制的发展与应用（Development and application of intelligent control） Talking about the development and application of intelligent control.Txt love is a very tough word. The upper half of it is taken from abnormal, and the lower half is taken from the abnormal state. With the development of information technology, many new methods and technology into engineering, product stage, the automatic control technology were put forward new challenges, promote the theory of intelligent control technology application in the control of complex system to solve the problems with traditional methods can not solve the problem. I. The main method of intelligent control The main method of intelligent control technology with fuzzy control, expert control, neural network control and knowledge integration based on intelligent control, and the commonly used optimization algorithm: genetic algorithm, ant colony algorithm, immune algorithm, etc.. 2.1 fuzzy control Fuzzy control is based on fuzzy sets, fuzzy linguistic variables and fuzzy reasoning. The prior knowledge and expert experience are used as control rules. The basic idea is to control the system by machine simulation, which is based on the fuzzy model of the controlled object, and realizes the system control by means of fuzzy controller and approximate reasoning. In the implementation of fuzzy control, we mainly consider the membership function of fuzzy variables, the determination of function, and the formulation of control rules. The two are indispensable. 2.2 expert control Expert control is to combine the theory and technology of expert system with control theory and technology, and follow the experience of experts to realize an intelligent control of system control. The main body is made up of knowledge base and reasoning organization. By acquiring and organizing knowledge, the right rules are chosen according to some strategy, so as to realize the control of control objects. Expert control can flexibly select the control rate, h