Research On Fuzzy Composite Control Method Of Wood Carbonization System Based On Dalin Algorithm

With the growth of China's GDP and the improvement of national standard of living,pulling the sharp increase in China's timber production.With the shortage of forest resources and the deepening of environmental protection and economic concept,the products of carbonization wood have entered the market.At the beginning of this century,China introduced carbonized wood,because the carbonized wood is only contacted with water vapor and hot air in the production process,no chemical reagent is added,and the utility model has the advantages of good environmental protection,stable wood structure,corrosion resistance,etc.,and is widely loved by consumers.And the wood after carbonization treatment,the vast majority of fungi and all insects in high temperature air was killed,will not occur mildew problem.But at present,the intelligent control method is not very mature,so the production cost and efficiency are limited,so the research on the intelligent control of wood carbonization process is of great significance.According to the problem of large hysteresis and nonlinear control in the process of carbonization,this paper studies the fuzzy adaptive PID control,feedforward feedback control and Dahllin algorithm,and puts forward the Dahllin fuzzy composite control method.This kind of control method adopts the fuzzy control to adjust the parameters of the PID controller so that the parameters have the ability of adaptive and improve the response speed of the system.The feedforward controller is designed for many measurable interference in the carbonization process.So that the controller has a preventive effect of the characteristics of some of the interference can be achieved directly at the source to deal with,to solve the problem of feedback control is not timely,to a certain extent,improve the system's antijamming capability,Dahllin algorithm is mainly to reduce the system overshoot and shock.In this paper,the fuzzy adaptive PID controller is compared with the traditional PID controller in four cases with no interference of the model matching and mismatch,the input and the control channels are interfered respectively.Then,the feedforward controller is added,and the fuzzy feedforward-feedback and fuzzy adaptive PID control and feedforward-feedback simulation are compared respectively in the case of sine,square wave and white noise in the interference channel.For the system will appear shock and overshoot,with Dahllin algorithm to improve fuzzy feedforward-feedback control,and fuzzy adaptive PID simulation comparison experiment.Finally,according to the characteristics of the carbonization process,the temperature rise stage of the charcoalization process of the catalpa was selected and simulated.The simulation experiments were carried out between the fuzzy adaptive PID control,the fuzzy adaptive PID and the traditional PID control.And under the same experimental conditions,compared with the literature [53] conducted a simulation experiment.The results show that the fuzzy control plays an important role in the parameter adjustment.The feedforward control has a good effect on the measurable interference.Dahllin control plays a role in suppressing overshoot and shock.The controller has good stability and robustness and is suitable for the carbonization system specialty.