A Data-Driven Model for Valve Stiction

Abstract The presence of nonlinearities, e.g., stiction, hysteresis and backlash in a control valve limits control loop performance. Stiction is the most common problem in spring-diaphragm type valves, which are widely used in the process industry. Though there have been many attempts to understand the stiction phenomena and model it, there is lack of a proper model which can be understood and related directly to the practical situation as observed in real valves in the process industry. This study focuses on the understanding, from industrial data, of the mechanism that causes stiction and proposes a new data-driven model of stiction, which can be directly related to real valves. It compares simulation results generated using the proposed model with industrial data.