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Research On Modeling And Control Method Of Aluminum Electrolytic Pole Control System

Posted on:2020-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:M WangFull Text:PDF
GTID:2481306350476524Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
Since entering the new century,China has become the world's largest producing aluminum and aluminum-consuming country,but in the domestic aluminum electrolysis industry,large enterprises still expose various problems such as low production efficiency,high power consumption,and serious environmental pollution.High power consumption has always been the most serious problem in the aluminum electrolysis industry,so the primary goal of the aluminum electrolysis industry is to reduce energy consumption.In the aluminum electrolysis control system,when the aluminum cell is disturbed,the stability of the electrolytic cell is reduced,this leads to lower energy efficiency,higher energy consumption,and higher costs.Therefore,in order to reduce the energy consumption of the aluminum electrolytic cell,it is necessary to ensure that the electrolytic cell operates in a stable area.The overall research background of this paper is the aluminum electrolysis industry.Based on the analysis of the mechanism of industrial electrolyzers,a semi-physical simulation platform that meets industrial requirements is built.The platform is a DCloaded semi-physical simulation and load detection and integrated control device of Northeastern University.The proposed control algorithm is simulated and verified on the platform.The research contents of this paper mainly include aluminum electrolysis process modeling,control method research,Simulink software system simulation research,and aluminum electrolysis semi-physical platform construction.In this paper,a large amount of review and analysis of aluminum electrolysis process,process principle and theoretical control are carried out.On this basis,the theoretical analysis of aluminum electrolysis process mechanism is carried out.Through the coupling analysis of process parameters,the mechanism is proposed.Electrolyzer model.The mechanism model is based on the theory of voltage balance equation and energy balance equation.In this paper,the pole distance affected by the current fluctuation is selected as the controlled object,and the relationship between the slot voltage and the series current can be revealed by the pole distance as the controlled object.Aluminum electrolysis is a complex process with parameter time-varying,delay,large inertia and nonlinearity.The traditional PID controller can not fully meet the control requirements of aluminum electrolysis in the process of aluminum electrolysis.This paper makes improvements on the controller and puts forward Based on the PID controller optimized by genetic algorithm,the genetic PID controller is superior to the traditional PID controller in control effect.It can be adjusted according to different slot conditions and has universality.This paper also considers the harm and remedial measures of the anode effect on the electrolyzer.In the aluminum electrolysis industry,the occurrence and solution of the anode effect are all done by experienced workers.The drawbacks are obvious:experience judgment is easy to cause errors,and there is a risk of shortening the life of the electrolyzer.The bumpless switching control strategy proposed in this paper can ensure that the electrolytic cell can quickly recover to a stable region during the anode effect.Design and development of aluminum electrolysis semi-physical simulation platform.Hardware configuration and software design using Siemens system supporting facilities:Siemens S7-300 series PLC and aluminum electrolytic cell model jointly build aluminum electrolysis control system,use Siemens window control center Wincc to design the monitoring interface of the whole aluminum electrolysis control system,convenient for operators Real-time management and monitoring.
Keywords/Search Tags:Electrolytic Aluminum, Pole Distance Control, Modeling, Genetic PID, Simulation
PDF Full Text Request
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