Data Rectification Technical Based On SV Regression For Methanol Synthesis Unit

With the continuous development of computer technology, modern industrial processes are increasingly dependent on computer integrated manufacturing system (CIMS) for process control, operation optimization, decision analysis, and production scheduling. As a direct reflection of the production conditions, these measurement data provide a basis for the control optimization, scheduling and decision analysis. However, measurement errors are inevitable. Due to the presence of measurement errors, the process measurement data could't meet the balance between the variables. Once the data source contains measurement errors is used as a basis for decision making, it may lead to economic losses, even worse may affect the stable operation of the production process.Firstly, the process and control requirements of some methanol synthesis unit, outputs 500,000 tons every year,are studied in this paper, followed by data reconciliation research of the unit. As a result of 6MPa working condition, the measuring instrument is difficult to avoid bias, which will lead to decreased reliability, in the measurement process. Thus, data rectification technical is applied for this unit to reduce the impact of measurement error. Secondly, this paper illustrates a SV regression method,which can remove gross error defined as regression model complexity,and implement data reconciliation at the same time. What's more, according to the principle of particle swarm optimization (PSO), w-dynamic updated strategy and velocity variation strategy are proposed in this paper, which bring out some improved algorithms such as improved PSO (IMPSO), improved food guide PSO (IMFGPSO) and improved differential PSO (IMDPSO), followed by their testing in different testing functions, and the result shows that these improved algorithms have better global search performance. These algorithms are supposed to deal with the data reconciliation problem of methanol synthesis unit.In this paper, the data rectification technical based on SV regression is applied to the methanol synthesis unit, with differential particle swarm algorithm and it's improved algorithms. The results show that the data rectification method based on SV regression can effectively decrease the error of process data.The study of this paper has a guiding signification on the actual production process.