Application of control quality evaluation technology in complex industrial process
by Yongwei Li; Yuman Li; Hongfei Wang; Mingxing Chen
International Journal of Computer Applications in Technology (IJCAT), Vol. 57, No. 2, 2018

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.

Online publication date: Mon, 30-Apr-2018

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