Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ulaganathan Nallasivam"'
Publikováno v:
Industrial & Engineering Chemistry Research. 60:16345-16362
In this work, for the first time, we present a general framework for the scheduling of crane-assisted pipeless batch (and semibatch) process plant operations. Using the framework, we develop a prec...
Publikováno v:
Computers & Chemical Engineering. 170:108130
Publikováno v:
2019 Fifth Indian Control Conference (ICC).
Benefit estimation is one of the key components for introducing Advanced Process Control (APC) / Multi-variable Predictive Control (MVPC) / Model Predictive Control (MPC) to a process, as the cost associated with it have to be justified in economic t
Publikováno v:
IFAC-PapersOnLine. 48:765-770
A modern complex industrial process, such as petroleum refinery, petrochemical plant, pulp & paper process and power plant, usually include hundreds or thousands of control loops. It is a well-known fact that many controllers in a process plant are n
Publikováno v:
Industrial & Engineering Chemistry Research. 51:13712-13731
In a single-input single-output (SISO) closed-loop system, under constant or nonoscillatory set-point, oscillations in the output can occur mainly because of one or a combination of the following reasons: (i) presence of stiction in control valve, (i
Autor:
Raghunathan Rengaswamy, Ulaganathan Nallasivam, Vidyashankar Kuppuraj, Babji Srinivasan, M N Karim
Publikováno v:
IEEE Transactions on Automatic Control. 56:1406-1411
Identification of stable parametric models from input-output data of a process (stable) is an essential task in system identification. For a stable process, the identified parametric model may be unstable due to one or more of the following reasons:
Publikováno v:
IFAC Proceedings Volumes. 44:13145-13150
Oscillations in process plants degrade the performance of control loops resulting in poor product quality. Therefore, plant-wide oscillation diagnosis is an essential task to maintain the performance of control loops. In recent years, significant res
Publikováno v:
Scopus-Elsevier
Nearly 20–30% of all process control loops oscillate due to stiction resulting in productivity losses. Thus, detection and quantification of stiction in control valves using routine operating data is an important component of any automated controll
Publikováno v:
CCA
The use of online data for steady-state detection is required to solve problems like statistical data reconciliation, real time optimization and controller performance monitoring. In this paper, a new method for univariate system is proposed, which m
Publikováno v:
ACC
Stiction has been reported as the most commonly occurring nonlinearity in control valves. In the literature, mechanistic and data based models have been proposed to characterize stiction. In this paper, the available models are critically analyzed. T