Optimal State Estimation

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Fundamentals Of Engineering Thermodynamics

Towards a Digital Twin for Thermal Processes: Control-centric approach

Output feedback stochastic nonlinear model predictive control for batch processes

The present invention relates to a centrifugal compressor. The compressor is a compact magnetic bearing based on technology and efficient compressor, and the compressor may have a high speed operation and reliable control system. The present invention employs a compressor installed on a single common motor so that a driving means shared two separate compressors. Balance the axial force at high speed is achieved by employing a pair of electromagnetic bearing.

A centrifugal compressor

Feedback Linearizing Control of a Gas-Liquid Cylindrical Cyclone

Compact separators are increasingly used for subsea separation of hydrocarbons, because of their low weight and low cost. A problem is their small volume, which makes them very sensitive to flow variations. This can degrade separation performance, which in turn can cause operational problems and economic loss. Improved control can increase robustness and therefore, the focus of this paper is to derive a control-oriented model based on first principles to enable the development of robust control algorithms. The derived model is controlled by a PI feedback control algorithm and tuned using the SIMC tuning rules. The model is qualitatively verified in simulations, and the behaviour confirmed with reported observations from experimental work and field applications from literature.

Control-oriented modelling of gas-liquid cylindrical cyclones

Gas-liquid cylindrical cyclone separators are increasingly used for separation of hydrocarbons in the oil and gas industry. They are favoured for their low weight and compact design. However, a challenge is their small volume, which makes them sensitive to flow variations, which can cause operational and separation problems. Optimal control can improve both operational and separation performance. We extend a newly derived control-oriented model to include continuous separation and use this extended model to propose a nonlinear model predictive control algorithm to improve control and optimize the purity of the gas product. To achieve this, one degree of freedom is freed up by implementing band control of the liquid level. The extended model is qualitatively verified in simulation and the performance of the nonlinear model predictive control algorithm is compared with and without measurement noise and with and without optimization of the gas product purity.

Nonlinear model predicitve control of a gas-liquid cylindrical cyclone

The development and production of small gas condensate discoveries require cost-efficient boosting technologies for profitable production. Subsea wet-gas compression is a new boosting technology, capable of boosting gas condensates containing up to 5% liquid per volume, removing the need for preseparation of the gas condensate, and resulting in lower investment and maintenance cost. Wet gas significantly changes the compressor performance compared with dry gas, including changing process gain and the normal operating region, creating a challenging modeling and control problem. A wet-gas compression model with an empirical approximation of the pressure rise, including a complex backstepping controller, was recently proposed to solve these challenges. However, the model did not correctly model negative mass flows and the empirical polynomial provided limited insight into wet-gas compression. Therefore, in this article, we extend these dynamics to correctly model negative mass flows (deep surge) and, inspired by previous work on first-principle dry-gas compression modeling, we replace the empirical approximation with a first-principle wet-gas compressor characteristic. A nonlinear controller is designed via the Lyapunov analysis, and the local asymptotic stability is proven.

Modeling and Control of a Wet-Gas Centrifugal Compressor

As subsea production of oil and gas reaches deeper and more remote waters, the need for more compact separation equipment arises. The gas hquid cylindrical cyclone (GLCC) is a widely used separation device in topside facihties, 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 controfler 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 controfler works very wefl, even with uncertainties in assumed known parameters, and measurement noise.

/pdf/adaptive-feedback-linearizing-control-of-a-gas-liquid-4r4d1xjfuy.pdf

Torstein Thode Kristoffersen

Papers

Feedback Linearizing Control of a Gas-Liquid Cylindrical Cyclone

Control-oriented modelling of gas-liquid cylindrical cyclones

Nonlinear model predicitve control of a gas-liquid cylindrical cyclone

Modeling and Control of a Wet-Gas Centrifugal Compressor

Adaptive feedback linearizing control of a gas liquid cylindrical cyclone