Feedback Linearizing Control of a Gas-Liquid Cylindrical Cyclone

Kristoffersen, Torstein Thode; Holden, Christian; Egeland, Olav

doi:10.1016/j.ifacol.2017.08.2165

Cited by 10 publications

(9 citation statements)

References 15 publications

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“…The following state transformation was first presented in [11], but is repeated here for completeness. The dynamics of the liquid phase is governed by the liquid and hence is described by the state x 1 .…”

Section: A State Transformationmentioning

confidence: 99%

“…T is the external state and η = φ(x) is the internal state. It is shown in [11] that by choosing the internal state as η = x2…”

Section: A State Transformationmentioning

confidence: 99%

“…By replacing θ 1 and θ 2 with estimatesθ 1 andθ 2 , we relax the assumptions from [11], where these are assumed known.…”

Section: B Adaptive Feedback Linearizing Controllermentioning

confidence: 99%

“…The internal state η enters system (33) and it is important that this state is upper bounded and not equal to −1. It is shown in [11] that 0 < |η| ≤ h(|η(t 0 )|, t − t 0 ) < ∞ where h is a class KL function, if certain inlet conditions are satisfied. We use the same system and inlet conditions in this paper as described in [11] and hence, the conditions are satisfied.…”

Section: B Adaptive Feedback Linearizing Controllermentioning

confidence: 99%

“…This model is based on the physical mechanisms of GCU and LCO, includes more dynamics and hence enables model-based controller design. The model has been used to derive a feedback linearizing controller [11] and in this paper we relax some of the assumptions and requirements of [11] and derive an adaptive feedback linearizing controller. Local asymptotic stability, in the sense of Lyapunov, of the liquid level and gas pressure is proven and the results are verified in simulations.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive feedback linearizing control of a gas liquid cylindrical cyclone

Ohrem

Kristoffersen

Holden

2017

2017 IEEE Conference on Control Technology and Applications (CCTA)

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As subsea production of oil and gas reaches deeper and more remote waters, the need for more compact separation equipment arises. The gas liquid cylindrical cyclone (GLCC) is a widely used separation device in topside facilities, but has yet to reach the same popularity subsea. The GLCC separates gas and liquid by inducing a swirl on the multiphase flow. Because of its small size, the GLCC is sensitive to flow variations which may reduce separation performance. The performance of the GLCC can be improved by control. In this paper we consider a nonlinear dynamic model of a GLCC containing unmeasured variables and states. We present an adaptive feedback linearizing controller and prove that the origin of the gas pressure and liquid level error systems are locally asymptotically stable in the sense of Lyapunov on a specified domain. The model and controller are implemented in Simulink and simulations show that the controller works very well, even with uncertainties in assumed known parameters, and measurement noise.

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Section: A State Transformationmentioning

confidence: 99%

“…T is the external state and η = φ(x) is the internal state. It is shown in [11] that by choosing the internal state as η = x2…”

Section: A State Transformationmentioning

confidence: 99%

“…By replacing θ 1 and θ 2 with estimatesθ 1 andθ 2 , we relax the assumptions from [11], where these are assumed known.…”

Section: B Adaptive Feedback Linearizing Controllermentioning

confidence: 99%

Section: B Adaptive Feedback Linearizing Controllermentioning

confidence: 99%

Section: Introductionmentioning