Non-identifier-based adaptive control of continuous fluidized bed spray granulation. (November 2018)

• Record Type: Journal Article
• Authors: Palis, Stefan
• Is Part Of: Journal of process control. Volume 71(2018)
• Page Start: 46
• Page End: 51
• Publication Date: 2018-11
• Subjects: Lambda tracking -- Adaptive control -- Granulation -- Fluidized bed -- High gain control; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2018.07.016
• Languages: English
• ISSNs: 0959-1524

Abstract

Highlights: Non-identifier-based adaptive control is investigated as an alternative approach to model-based control. Application requirements are checked directly for the population balance model, i.e. the distributed parameter system. Two schemes, universal adaptive and lambda-tracking, are investigated. Abstract: This paper is concerned with stabilizing control for continuously operated fluidized bed spray granulation with internal product classification. It is well-known that these processes may become unstable for certain operating conditions giving rise to nonlinear oscillations in the particle size distribution. In contrast to previous works, in this contribution a model-free adaptive control is proposed. It is shown that the given fluidized bed spray granulation process fulfills the required structural assumptions. The designed control schemes, universal adaptive and λ -tracking control, are tested in a noise-free scenario and including measurement noise.