Time-delay identification in dynamic processes with disturbance via correlation analysis. (May 2017)

• Record Type: Journal Article
• Authors: Li, Li-Juan; Dong, Ting-Ting; Zhang, Shu; Zhang, Xiao-Xiao; Yang, Shi-Ping
• Is Part Of: Control engineering practice. Volume 62(2017)
• Page Start: 92
• Page End: 101
• Publication Date: 2017-05
• Subjects: Time-delay estimation -- Dynamic -- Disturbance -- Correlation -- Wood-Berry process; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2017.03.007
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: A time-delay identification algorithm in closed-loop dynamic processes with disturbance based on maximum correlation analysis was proposed in this paper. To denoise the output data, the response of process disturbance was first estimated on routine data and then eliminated from the output. Next the incremental denoising process data were proposed to be used against the influence of system dynamic on the time-delay estimation. The correlations between the incremental input and different delayed output were computed and the delayed time corresponding to the maximum correlation was identified as the time-delay. The application in the Wood-Berry process and an industrial process showed the validity of the proposed algorithm. Highlights: The impact of process dynamic on time-delay estimation based on correlation analysis was analyzed. Incremental dataset was proposed to be used to overcome the influence of process dynamic. A disturbance estimation method was presented to denoise the output data. The proposed algorithm was validated in both a simulated process and an industrial process.