Journal of Computational & Applied Research in Mechanical Engineering (JCARME)

Document Type : Research Paper

Authors

¹ Northern india Engineering College, GGSIP University, New Delhi.

² Mechanical Engineering Department, The NorthCap University, Gurugram - 122017, India

³ Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, New Delhi - 110078, India

https://doi.org/10.22061/jcarme.2018.2689.1270

Abstract

Inherent nonlinearities like, deadband, stiction and hysteresis in control valves degenerate plant performance. Valve stiction standouts as a more widely recognized reason for poor execution in control loops. Measurement of valve stiction is essential to maintain scheduling. For industrial scenarios, loss of execution due to nonlinearity in control valves is an imperative issue that should be tackled. Thus, an intelligent technique is required for automated execution, observation and enhancement. The paper shows the creative utilization of an intelligent controller for nonlinearity diagnosis in control valves. This is a Fuzzy Gain Scheduling (FGS) PID smart controller that tunes its gain parameters in real time to manage a control valve’s inherent nonlinearity. The viability of the FGS PID controller is experimentally verified in a laboratory scale plant. An execution comparison between FGS PID and classical PID controllers are undertaken for their set point following and disturbance rejection at different operating points. Experimental results show that the FGS PID controller outperforms the classical PID controller for all explored cases effectively managing stiction based oscillation in the controller output.

Graphical Abstract

Keywords

dor

20.1001.1.22287922.2019.8.2.5.2

Main Subjects

Automation

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