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A Distributed Algorithm for Scenario-based Model Predictive Control using Primal Decomposition *
(Journal article; Peer reviewed, 2018)In this paper, we consider the decomposition of scenario-based model predictive control problem. Scenario MPC explicitly considers the concept of recourse by representing the evolution of uncertainty by a discrete scenario ... -
A Dynamic Extremum Seeking Scheme Applied to Gas Lift Optimization
(Journal article; Peer reviewed, 2019)This paper presents the application of a data-driven optimization scheme using transient measurements to a gas-lift optimization problem. Optimal operation of a gas-lifted field involves controlling the marginal gas-oil ... -
Control of steam bottoming cycles using nonlinear input and output transformations for feedforward disturbance rejection
(Peer reviewed; Journal article, 2022)In this paper we analyze the control problem for a steam cycle that produces power by recovering waste-heat from gas turbines on an offshore installation. The waste-heat recovery unit is based on once-through steam generator ... -
Data-driven Scenario Selection for Multistage Robust Model Predictive Control
(Journal article; Peer reviewed, 2018)A main assumption in many works considering multistage model predictive control (MPC) is that discrete realizations of the uncertainty are chosen a-priori and that the scenario tree is given. In this work, we focus on ... -
Designing neural network control policies under parametric uncertainty: A Koopman operator approach
(Peer reviewed; Journal article, 2022)Solving the optimisation problem associated with nonlinear model predictive control (MPC) on-line when considering uncertainty is often infeasible due to the large computational times. One approach is to avoid the online ... -
Fast Economic Model Predictive Control for a Gas Lifted Well Network
(Journal article; Peer reviewed, 2018)This paper considers the optimal operation of an oil and gas production network by formulating it as an economic nonlinear model predictive control (NMPC) problem. Solving the associated nonlinear program (NLP) can be ... -
Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP
(Journal article; Peer reviewed, 2018)We present a fast sensitivity-based nonlinear model predictive control (NMPC) algorithm, that can handle non-unique multipliers in the discretized dynamic optimization problem. Non-unique multipliers may arise, for example ... -
Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System
(Journal article, 2017)The efficient and safe operation of subsea gas and oil production systems sets strict requirements to equipment reliability to avoid unplanned breakdowns and costly maintenance interventions. Because of this, condition ... -
From-scratch development and improvement of a problem-based learning course: Nonlinear Model Predictive Control for Chemical and Biochemical Processes
(Journal article; Peer reviewed, 2022) -
Gas-lift Optimization by Controlling Marginal Gas-Oil Ratio using Transient Measurements
(Journal article; Peer reviewed, 2018)This paper presents the application of a steady-state gradient control using transient measurements to a gas-lift optimization problem. Optimal operation of a gas-lifted field involves controlling the marginal gas-oil ratio ... -
Improved PI control for a surge tank satisfying level constraints
(Journal article; Peer reviewed, 2018)This paper considers the case of averaging level control, where the main objective is to reduce flow variations by using varying liquid levels. However, to avoid overfilling or emptying the tank, the liquid level needs to ... -
Modeling and control of an inline deoiling hydrocyclone *
(Journal article; Peer reviewed, 2018)In subsea oil and gas production and processing, automatic control of operation is of significant importance. Typically, processing in subsea fields involves separation of hydrocarbons from water and rejection of water in ... -
Modifier adaptation for real-time optimization of a gas lifted well network
(Journal article; Peer reviewed, 2018)This work studies the steady-state optimization of a Gas Lift Oil Well Network. The optimization approach used is based on the methodology proposed by (Gao et al., 2016), which is a Modifier Adaptation (MA) with gradient ... -
Optimal boundary control of a contact thawing process for foodstuff
(Journal article, 2016)In this work an approach for thawing blocks of foodstuff, in particular fish, is introduced. The functional principle is based on plate freezer technology, which has been used in industry for decades. The aim of this work ... -
Optimal Operation with Changing Active Constraint Regions using Classical Advanced Control
(Journal article; Peer reviewed, 2018)With ”classical advanced control” we mean the control structures that are commonly used in industry for multivariable control. These have been in use for at least 50 years, but surprisingly there is little literature ... -
Self-Optimizing Control in Chemical Recycle Processes
(Journal article; Peer reviewed, 2018)An engineer always has to make assumptions about the system boundary. In this paper, the impact of neglected dependencies of manipulated variables on the disturbance variables as example for said assumptions is investigated ... -
Should we forget the Smith Predictor?
(Journal article; Peer reviewed, 2019)The PI/PID controller is the most used controller in industry. However, for processes with large time delays, the common belief is that PI and PID controllers have sluggish performance, and that a Smith predictor or similar ... -
Simple method for parameter identification of a nonlinear Greitzer compressor model
(Journal article; Peer reviewed, 2018)This work introduces a simple method to estimate state variables and identify parameters of a nonlinear dynamic Greitzer compressor model. The observer is based upon an extended Kalman filter, which estimates the dynamic ... -
The Simple Solution for Nonlinear State Estimation of Ill-Conditioned Systems: The Normalized Unscented Kalman Filter
(Journal article; Peer reviewed, 2023)An easy-to-implement method for nonlinear state estimation for ill-conditioned systems is proposed. By propagating standard deviations and correlations instead of the covariance in the unscented Kalman filter (UKF), the ... -
Slug handling with a virtual harp based on nonlinear predictive control for a gravity separator
(Journal article; Peer reviewed, 2018)This paper presents a nonlinear model predictive control approach for a three-phase gravity separator model. The aim of the controller is to dampen slug-induced, oscillatory disturbances in the inflow to the gravity ...