| Rules description method is presented for discrete event dynamic system, which combines a rules representation method in artificial intelligence and rule-based system characteristics, provides a set of program for modeling discrete event dynamic systems and achieving system function. But most of industrial control system is hybrid dynamic systems, including discrete event dynamic systems and continuous variable dynamic system, including dual characteristics of continuous and discrete. Currently, rules description method is only applicable to discrete variables, has deficiency in continuous variables description, which limited application and promotion of rules description method in the. Fuzzy control is applied in complex, nonlinear control systems, is a kind of rule-based control, the core is similar to Rules description method, but it is used in a continuous system, we introduce some Mechanism of fuzzy control into Rules description method , make it be applicable to continuous systems, expanded its range of applications.Firstly, This dissertation do research on rules description method and the basic principles of fuzzy control, analyzed the similarities and differences between them ,concluded that by introducing fuzzy concept into RDM can realize the rules description of continuous variables, by introducing fuzzification and defuzzification can achieve continuous variable input and output.Secondly, this dissertation centers around the system structure of rule description method, design the function module into which was introduced, including the fuzzification module, fuzzy reasoning module and defuzzification module, as well as summarizing the advantages of this method.Finally, this dissertation designed a simulation system for rule description method based on fuzzy control, including fuzzification, fuzzy rule base and defuzzification. Simulation results show that the method is applicable to continuous variable dynamic system, has significance in application of rule description method in actual system... |