Paper Details

Process control equipments are designed to operate the plants on a steady state basis and are most importantto determine the performance of automatic control system. Control of the process requires thorough control knowledge,the behavior of the process components, process details, and inter-relation within the sections of the process plant. Theeffects of control components on process identification are backbones of effective and efficient process control. Thesecomponents are more susceptible to failure due to many reasons such as degradation o f components, high operatingvalue, backlash, friction etc. The deterioration of these component may due to wear and tear, hostile atmosphericconditions, drift due to temperature changes, hysteresis etc. Some faults or abnormality results in non -uniformity inprocess output and further may lead to plant shutdown. Modeling of these components provides accurate description ofcomponent dynamics that is helpful for condition monitoring and further for failure analysis.This paper is concerned with the study & analysis of flow control loop components, where by experimentation carriedout on an industrial type control valve, I/P converter, orifice in the laboratory. Effective data collection of thesecomponents, consisting of literature gathering and some tests such as step and vibration on these components, isperformed using which modeling equations are formed in MATLAB. The raw data can be used to describe system responseand formulate the suitable algorithm using programmable Hybrid controller. Empirical data based modeling and analysesare the key features of this paper.

J.S Rajashekar, Dr. S.C. Prasanna Kumar, “Flow Control Loop Analysis for System Modeling & Identification”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 1110-1114, May 2015.