Study on Purification System of Air Separation Equipment Based on Partial Least Square Method
The predictive control of purification system of air separation plant was researched based on the modified orthogonal signal of partial least squares method. It will analyze several defects of air separation plant and purification systems, the short switching time can reduce the useful life, the long time of the regeneration can lead large consumption of the impure nitrogen and so forth. A least squares method regression model of controlling the switching time of molecular sieve was established by using the experimental data of the purification system. And the model improved the system performance and reduced the computation using the modified orthogonal signal method. The validity of the model excellent agreed with the experimental result.
purification systems of an air separation partial least squares method modified orthogonal signal correction regression model.
Keping Liu Jing Jin Guangcheng Ma
College of Electrical & Electronic Engineering Changchun University of Technology Changchun, China Liang Chen,Changhong Jiang College of Electrical & Electronic Engineering Changchun University of Te
国际会议
长春
英文
340-343
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）