The Research Of On Line Detection Technology About Pulp Comprehensive Parameters

Delay phenomenon is a kind of time delay that is a common phenomenon in our daily life,industrial production and scientific research.The research is one of the hot topics in the control field,and it is also an important field in the application of control theory.Based on the data mining technology,the time delay and the inertia parameters of the controlled object are excavated.At the same time,the fuzzy controller and the adaptive fuzzy controller are designed on the basis of mining parameters.First of all,the data acquisition is carried on the data acquisition preparation,based on the first time delay control object with different time delay parameter,collected the parameter,and has carried on the delay control object data acquisition.Secondly,the reference curve is designed and the similarity of the curve is obtained.The fuzzy neural network is designed with the similarity as the input and the control object as the output.The parameters of the lag-time and the control object are designed and the convergence of the fuzzy neural network is proved.Then,ant colony algorithm is applied to define variable time delay control delay time of an object changes,and to establish the time-varying parameters of the mining model.The diploid genetic algorithm(DGA)is used to design the fuzzy controller of time-delay system and lag-time system.The change of the lag-time parameter of the system with time-varying delay is treated by disturbance,and its optimal solution set.Finally,the adaptive fuzzy control is designed by analyzing the time-delay variation of the time-varying delay system,and adaptive fuzzy control of control objects is achieved.The coke oven control system is taken as the research object to verify the design of the adaptive fuzzy controller method.The simulation results show that the proposed adaptive fuzzy controller design method can effectively improve the controller design efficiency and control precision of time-delay systems.