Continuous fluidized bed spray granulation processes with external screen-mill cycle are known to be susceptible to nonlinear oscillations. As has been shown recently, mass control may induce periodical oscillation of the particle size distribution in fine grinding regimes, which requires the design of additional stabilizing control. In this contribution a data-driven control approach is investigated. It is based on the identification of the Koopman-based linear representation of the system and does not require any manual system modeling as it is based purely on input–output measurements. The resulting representation makes possible a linear–quadratic control design, that does not depend on a specific operational point. The proposed approach was successfully validated in a numerical study.

已知具有外部筛磨循环的连续流化床喷雾造粒工艺容易受到非线性振荡的影响。如最近所显示的，质量控制可能会在精细研磨过程中引起粒度分布的周期性振荡，这需要设计额外的稳定控制。在这一贡献中，研究了一种数据驱动的控制方法。它基于对基于Koopman的系统线性表示的识别，并且由于它完全基于输入-输出测量，因此不需要任何手动系统建模。结果表示使线性二次控制设计成为可能，该设计不依赖于特定的操作点。所提出的方法已在数值研究中得到成功验证。