Valve friction quantification: Industrial case studies
Abstract
Control valves are the main final elements of control loops in industrial processes. When a valve is affected by friction, it causes oscillations or steady-state errors in the stem position, since the valve does not respond instantaneously to the control signal. Hence, the presence of friction can increase the variability of the control loop, causing loss of product quality and increasing the need of maintenance, in such a way to generate economical impacts. Many studies have been presented in order to diagnose and measure the valve friction. In this work, some techniques proposed in the literature are implemented. In order to evaluate its performance, some comparisons of the results obtained from industrial data are presented. © 2011 IFAC.
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866759325&doi=10.3182%2f20110828-6-IT-1002.02915&partnerID=40&md5=932d850f15571e0ddb8b9e926cdfa195https://repositorio.maua.br/handle/MAUA/975
Collections
Related items
Showing items related by title, author, creator and subject.
-
Robust model predictive control of a pilot plant distillation column (Artigo de Periódico)
P. Martin; Darci Odloak; Fuad Kassab (Elsevier BV, 2012) -
Reference trajectory tuning of model predictive control (Artigo de Periódico)
André S. Yamashita; Paulo Martin Alexandre; Antônio Carlos Zanin; Darci Odloak (Elsevier BV, 2016) -
Disturbance-observer-based model predictive control of underwater vehicle manipulator systems (Trabalho apresentado em evento)
Oliveira, Éverton L.; Orsino, Renato M.M.; Donha, Décio C. (Elsevier B.V., 2021)This paper presents a disturbance-observer-based Model Predictive Control (MPC) for Underwater-Vehicle Manipulators Systems (UVMSs). First, the nominal MPC is formulated considering the lumped uncertainties representation ...