Research On Integrated Automation Technology In Cleaner Production Of Pulp Cooking Process

This thesis focus on the idea of integrated automation based on cleaner production, and the approaches of integrated automation based on cleaner production are studied in-depth in the background of pulp production process. Based on a discussion on the contents, background, significance and the up-to-now achievements in cleaner production in detail, we present our researches in five ways as follows:(1) The idea of integrated automation technology based on cleaner production is demonstrated in-depth.Based on a systematic analyzing on the up-to-now research achievements in cleaner production, the idea of integrated automation based on cleaner production is demonstrated in-depth, its feasibility and fundamentality are presented.(2) One kind of pulping cooking process distributed parameter system identificationmethod is suggestedAccording to digester process, subspace identification is produced for mathematical model simplify of a digester process, and carried model simulation study. Distributed parameter process identification system is studied and suggested that one kind of pulping cooking process distributed parameter system identification method, pulp cooking process as twe subprocesses are selected for the parameter identification study, twe subprocesses model is reduced by the OC method in linear state space form, the obtained models are verified by simulation using validation data and mean square error analysis.(3) Multi-objective optimization is applied to cleaner production for cooking processThe models of multi-objective optimization and stratified multi-objective optimization for the digester process are set up; the approaches of stratified multi-objective optimization based on genetic algorithms are studied. The weakness of general approach of multi-objective optimization method that its weighting coefficient cannot easily be confirmed and it only gets a extremely effective solution are overcome by using above approaches. A set of effective solution according with craft condition of digester process is gotten. The credible guarantee for optimum terminal craft parameters of digester process is provided.(4) A multi-objective optimization method based on Fuzzy for digester process is appliedA multi-objective optimization method is applied based on the Fuzzy decision and the cleaner production for digester process. Using the method, a good cleaner production effect can be achieved, at the same time, the count work reduced.(5) Distributed agent structure model based on multi-agent technology is established.A multi-agent model of cleaner production for complex, large-scale system of pulp production process is established by using the theory about agent's model, structure, communication and cooperation. Distributed agent structure model based on multi-agent technology is suggested. This model is the precondition to implement global optimization for cleaner production in the pulp production process. A multi-objective optimization algorithm and a multivariable DMC distributed intelligent algorithm are put forward based on the multi-agent model of cleaner production for pulp production process, and their superiority are explained by the simulation results of optimization and control for a digester process.(6) One kind of pulp cooking process multi-objective optimization control system design method is suggestedPulp cooking process system optimized control method is suggested. The large phase angle allowance design method of multi-objective optimal control system and a first class new type nonlinear controller based on X-Q controller are presented; pulp cooking process reality for the background applying is in progress. The multi-objective optimum design way as the large phase angle allowance design method of the paper is effective, the design way simple, direct, accurate, and suitable for engineering design.This thesis demonstrates integrated automation technology based on cleaner production is studied in-depth in the ways of multi-objective optimization, pulping cooking chemical reaction control, modeling and control for complex large-scale systems. This thesis provides new approaches and idea for cleaner production.