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Vol. 132, Issue 9, September 2011, pp.14-24




Control Valve Stiction Identification, Modelling, Quantification and Control - A Review


Srinivasan Arumugam and *Rames C. Panda

Department of Chemical Engineering, CLRI (CSIR), Adyar, Chennai 600 020, India

Fax: (044) 24911589

E-mail: panda@clri.res.in

(Ex-Faculty, Curtin University of Tech, Perth, Australia)



Received: 26 July 2011   /Accepted: 19 September 2011   /Published: 27 September 2011

Handbook of Laboaratory Measurements book


Abstract: Most of the processes found in process industries exhibit undesirable nonlinearity due to backlash, saturation, hysteresis, stiction (friction), dead-zone and stuck-fault existing in control valves. The control valve is the actuator for most process control loops and, as the only moving part in the loop, its function is to implement the control action. If the control valve malfunctions, the performance of the control loop is likely to deteriorate, no matter how good the controller is. Commonly encountered control valve problems include nonlinear responses to the demand signal caused by effects such as stiction, dead-band or saturation. Because of these problems, the control loop may be oscillatory, which in turn may cause oscillations in many process variables causing a range of operational problems including increased valve wear. Understanding nonlinear behaviour of control valves in order to maintain the quality of the end products in the industry, this review article surveys the identification, modelling, estimation and design of dynamic models of stiction nonlinearity and providing appropriate controller to obtain optimum responses of the process. The primary objective of this work is to present state-of-art-review of common nonlinear problems associated with mechanical and chemical processes for encouraging researchers, practicing engineers working in this field, so that readers can invent their goals for future research work on nonlinear systems identification and control.


Keywords: Nonlinear, System Identification, Modelling, Estimation, Quantification, Stiction


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