Application of control quality evaluation technology in complex industrial process. (2018)

• Record Type: Journal Article
• Authors: Li, Yongwei; Li, Yuman; Wang, Hongfei; Chen, Mingxing
• Is Part Of: International journal of computer applications technology. Volume 57:Number 2(2018)
• Page Start: 149
• Page End: 156
• Publication Date: 2018
• Subjects: synthetic ammonia decarbonisation -- quality evaluation -- minimum variance -- particle filter -- automated technology applications -- industrial process control; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

Abstract

In a class of time-varying, large delay, non-Gaussian and nonlinear characteristics of complex industrial process, its control quality indicators often gradually deviated from the original design values. To solve this problem, it is very important to control the quality of the control loop and find out the reasons. The synthetic ammonia decarbonisation is a complex industrial process. The crystal size is chosen as the research object, and the control loop is evaluated by the method of control quality evaluation based on the minimum variance. The reasons for the variation are estimated and predicted by the method of particle filter. The simulation results show that the control quality evaluation method based on the minimum variance and the particle filter method are effective and feasible.