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Vol. 129, Issue 6, June 2011, pp.149-162





Estimation of Valve Stiction Using Particle Swarm Optimization


1S. Sivagamasundari, 2D. Sivakumar

Dept. of Instrumentation Engineering,

Annamalai University, Annamalainagar 608002, India

Tel.: 1 9444160969, 2 9443238642

E mail: sivagamasundari67@gmail.com, dsk2k5@gmail.com



Received: 6 May 2011   /Accepted: 20 June 2011   /Published: 30 June 2011

Handbook of Laboaratory Measurements book


Abstract: This paper presents a procedure for quantifying valve stiction in control loops based on particle swarm optimization. Measurements of the Process Variable (PV) and Controller Output (OP) are used to estimate the parameters of a Hammerstein system, consisting of connection of a non linear control valve stiction model and a linear process model. The parameters of the Hammerstein model are estimated using particle swarm optimization, from the input-output data by minimizing the error between the true model output and the identified model output. Using particle swarm optimization, Hammerstein models with known nonlinear structure and unknown parameters can be identified. A cost-effective optimization technique is adopted to find the best valve stiction models representing a more realistic valve behavior in the oscillating loop. Simulation and practical laboratory control system results are included, which demonstrates the effectiveness and robustness of the identification scheme.


Keywords: Control valve stiction, Nonlinear system identification, Hammerstein model, Particle swarm optimization


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