Research On Control Method Of Applying Glue For Medium Desity Fiberboard Based On Support Vector Identification

Middle density fiberboard is the mainstream of panel production as well as the major need of domestic and overseas panel market.It is an effective way of saving biological material resource.Gluing control is the key of fiberboard production,and it decides the cost and quality of the products.As to the automatic control of MDF product line in our country, there is still distance to the technique of foreign countries'.The problem of being unable to meet the need of environmental requirements,the high consumption of raw materials and the high cost of production are obvious.In this dissertation,the author made an in-depth study on the factors that influence the gluing process of MDF.On the basis of systematic study on the support vector machine theory,the author proposed a fussy self-adaptive method of MDF gluing control based on support vector identification.The content of this dissertation is as follows:In this dissertation,the author first made a model identification research on the indexes that influence the quality of MDF and gluing proportion parameters.In order to improve the accuracy of gluing proportion identification model,the author proposed a method that merges the feature selection technique to optimize the input parameters of the gluing proportion model, and uses the support vector regression technique to construct gluing proportion identification model with the help of optimized parameters.Aiming at the optimization of gluing proportion model input parameters and support vector regressive parameters,the author introduced selfadaptive genetic algrothm into the research and designed a self-adaptive GA-SVR algorithm for gluing proportion identification model.The results of experimentation showed that this algorithm has realized the optimized selection of identification model input parameters and support vector regressive parameters.The model can make exact prognostication on the proportion of gluing.In the process of MDF gluing control,the servo control of the gluing ratio should be realized under the control of gluing proportion parameters.Aiming at this,the author made a state space identification research on the rotational speed of motor and the flux of glue pump. As the flux of the glue pump is influenced by working pressure,medium viscosity and various factors related to the pump apart from the motor speed,the author proposed a SVC-based multi-model MDF gluing flux identification method.This method has realized the state space decomposition of rotational speed and flux with the help of support vector clustering technique. In the process of clustering,the author proposed a proximity graph-based dynamic kernel parameter clustering method that is suitable for the control of motor rotational speed and glue pump flux in MDF production to solve the problem of high complexity of relative matrix calculation.The result of experiments showed that this method has realized the accurate selfclustering of motor speed and pump flux under a low time complexity,the SVC-based multimodel gluing flux prognostication has a high accuracy and robust.Aiming at the characteristic difference of the gluing system in diversified MDF production,in this dissertation,the author proposed a self-adaptive controlling strategy for MDF gluing process.This strategy is based on the state space identification of the motor speed and pump flux,corresponding fuzzy control rules are set for different state spaces.By judging the state space of motor speed and pump flux,the switch of fuzzy rules is realized,thus the fuzzy self-adaptive control in the state space is realized.The result of experiments has showed that this strategy has realized the stable and reliable control of MDF gluing process.Taking the actual situations of MDF gluing into consideration,the author designed a "MDF-1 Parallel-Line-gluing control system" on the basis of the above theories.In last section of this dissertation,the author briefly introduced its software,hardware and communication subsystem.The result of system operation showed that the support vector identification-based MDF fuzzy self-adaptive control method could effectively increase the accuracy of gluing proportion control and the quality of production.The production costs as well as system failure are reduced,but the stability is enhanced.