Two-layer binary tree data-driven model for valve stiction

Abstract

Valve stiction commonly exists in process control systems. It generally leads to oscillation in control loops, which affects the product quality, increases energy consumption, and accelerates the equipment weariness. In this paper, current data-driven stiction models are first reviewed. A new data-driven model, with a simple two-layer binary tree logic structure is proposed. The logic behind the new model is carefully explained and illustrated. This model can cope with expanded types of stiction patterns, including some special cases such as linear and pure deadzone. Simulation results for both open-loop and closed-loop configurations will show the practical appeal of the proposed model. © 2008 American Chemical Society.