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- Title
Multi‐rate event‐triggered control with imperfect data for dense medium separation.
- Authors
Dai, Wei; Yang, Yi‐Zhuo; Zhang, Qi‐Rui; Yang, Chun‐Yu; Ma, Xiao‐Ping
- Abstract
The stability control of suspension density is an important means to ensure the quality of fine coal in dense medium separation (DMS) process. This paper focuses on the tracking control issue of the dense medium suspension density in a non‐uniform sampling and networked control environment, and proposes a multi‐rate event trigger control design method. Firstly, lifting technique and multi‐rate identification method are adopted to establish the multi‐rate model. Secondly, a multi‐rate event‐triggered predictive control (MEPC) algorithm is proposed to reduce the waste of communication resources and ensure tracking performance. Furthermore, by using a Kalman filter to eliminate the effects of noise and developing a compensation mechanism to predict the lost data, a robust MEPC (RMEPC) algorithm is further proposed for imperfect data in the actual production process. Finally, the hardware‐in‐the‐loop simulation experiments with actual parameters of coal preparation plant have been carried out, showing the effectiveness of the proposed method.
- Subjects
HARDWARE-in-the-loop simulation; COAL preparation; KALMAN filtering; MANUFACTURING processes; MAXIMUM power point trackers; COAL
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2024, Vol 18, Issue 1, p95
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/cth2.12543