Valve friction and nonlinear process model closed-loop identification

Romano, Rodrigo Alvite; Garcia, Cláudio

doi:10.1016/j.jprocont.2010.11.009

Cited by 39 publications

(21 citation statements)

References 17 publications

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“…A specific linear model was used in [17], which also accounts for nonstationary disturbances entering the process. The control loop was modeled as a Hammerstein-Wiener structure also in [24]. More recently, a technique based on harmonic balance method and describing function identification was proposed in [25].…”

Section: Introductionmentioning

confidence: 99%

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System identification applied to stiction quantification in industrial control loops: A comparative study

Capaci

Scali

Pannocchia

2016

Journal of Process Control

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A comparative study of different models and identification techniques applied to the quantification of valve stiction in industrial control loops is presented in this paper, with the objective of taking into account for the presence of external disturbances. A Hammerstein system is used to model the controlled process (linear block) and the sticky valve (nonlinear block): five different candidates for the linear block and two different candidates for the nonlinear block are evaluated and compared. Two of the five linear models include a nonstationary disturbance term that is estimated along with the input-to-output model, and these extended models are meant to cope with situations in which significant nonzero mean disturbances affect the collected data. The comparison of the different models and identification methods is carried out thoroughly in three steps: simulation, application to pilot plant data and application to industrial loops. In the first two cases (simulation and pilot plant) the specific source of fault (stiction with/without external disturbances) is known and hence a validation of each candidate can be carried out more easily. Nonetheless, each fault case considered in the previous two steps has been found in the application to a large number of datasets collected from industrial loops, and hence the merits and limitations of each candidate have been confirmed. As a result of this study, extended models are proved to be effective when large, time varying disturbances affect the system, whereas conventional (stationary) noise models are more effective elsewhere

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Section: Introductionmentioning

confidence: 99%

“…As general conclusion, the results obtained with pilot plant Karim [17], (ii) Jelali [21], (iii) Lee at. al [22], (iv) Romano and Garcia [24]. Note that the proposed EARMAX-Kano model is directly comparable with [17], since both use a recursive leastsquares (RLS) algorithm.…”

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confidence: 98%

System identification applied to stiction quantification in industrial control loops: A comparative study

Capaci

Scali

Pannocchia

2016

Journal of Process Control

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“…The knowledge of the value of stiction is very important in order to follow its evolution in time, to compare with acceptable thresholds and to schedule and check valve maintenance. In addition to techniques, as Choudhury et al (2006), which give an estimate of apparent stiction, methodologies which quantify the parameters of a data-driven stiction model and predict MV signal are much more effective: Srinivasan et al (2005), Choudhury et al (2008), Jelali (2008), Karra and Karim (2009), Romano and Garcia (2011), Farenzena and Trierweiler (2012). The main difficulty of stiction quantification is that the true value of stiction is not known in industrial data (it may be known in ad hoc experiments or in simulations); therefore, the validation of a proposed technique on a single set of industrial data can be incomplete.…”

Section: Introductionmentioning

confidence: 99%

A Performance Monitoring Tool to Quantify Valve Stiction in Control Loops

Capaci

Scali

2014

IFAC Proceedings Volumes

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“…The Hammerstein model parameters, and consequently the Kano model parameters, were estimated using a genetic algorithm for the nonlinear model and a linear estimator for the dynamic model. Romano and Garcia (2011) expanded the work of Jelali (2008), by estimating the parameters of a Hammerstein-Wiener model, composed by the Kano model as the nonlinear model input function, followed by a dynamic linear system and then a static cubic splines function. The parameters were estimated using grid search, simplex and quadratic programming.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The parameters were estimated using grid search, simplex and quadratic programming. Additionally, Romano and Garcia (2011) used a specific residual function to avoid parameter bias due to the correlation between input and process noise when estimating Wiener models.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling and automatic friction compensation of pneumatic diaphragm valves with digital positioners

Marques¹

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Pneumatic diaphragm valves with high friction index have the potential to decrease the control loop performance and induce limit cycles. Usually, the friction models used to model diaphragm valves are the simplest ones, mainly because there are not precise sensors available to benefit from friction models with higher complexity, as the dynamics that are modeled by more complex friction models can not be observed experimentally. In this thesis, algorithms and guidelines are designed to estimate, in open and closed loop, the valve model with simpler friction models, such as the Kano and Karnopp, as well as more complex friction models, such as the LuGre and GMS. The experimental tests, performed with two industrial valves with stem position and diaphragm pressure sensors, one with higher and the other with lower friction index, show that the GMS model has the most consistent prediction precision, with slightly better accuracy than the Karnopp model. The automatic friction compensation is developed using the Adaptive Inverse Control framework, where an offline process tunes a given controller using the previously estimated valve model. Experimental tests were performed, with several different control structures, using the Kano, Karnopp and GMS friction models to tune the controller. The results indicates that when the GMS friction model is used in the Adaptive Inverse Control framework, it is more likely to obtain optimal controller tunings, even though the Kano and Karnopp models provide pretty good tunings, as well.

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Valve friction and nonlinear process model closed-loop identification

Cited by 39 publications

References 17 publications

System identification applied to stiction quantification in industrial control loops: A comparative study

System identification applied to stiction quantification in industrial control loops: A comparative study

A Performance Monitoring Tool to Quantify Valve Stiction in Control Loops

Modeling and automatic friction compensation of pneumatic diaphragm valves with digital positioners

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