Blar i Institutt for teknisk kybernetikk på forfatter "Imsland, Lars Struen"
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Efficient optimization in Model Predictive Control
Ringset, Ruben Køste (Master thesis, 2009)Adjoint based gradient calculation for Nonlinear Model Predictive Control. -
Embedded Model Predictive Control on a PLC Using a Primal-DualFirst-Order Method for a Subsea Separation Process
Kufoalor, Kwame Minde; Richter, S; Imsland, Lars Struen; Johansen, Tor Arne; Morari, Manfred; Eikrem, Gisle Otto (Journal article, 2014)The results of a PLC implementation of embedded Model Predictive Control (MPC) for an industrial problem are presented in this paper. The embedded MPC developed is based on the linear MPC module in SEPTIC (Statoil Estimation ... -
Enhancing Model Predictive Control for Non-Continuous Actuators in the Oil and Gas Industry: A Mixed Integer MPC Approach
Bergsvik, Simen (Master thesis, 2023)Effektive kontrollsystemer er avgjørende for å oppnå høy produktivitet og økte inntekter innen olje- og gassindustrien. Modellbasert prediktiv kontroll (Model Predictive Control, MPC) har blitt en mye brukt teknikk for ... -
Expectation constrained stochastic nonlinear model predictive control of a batch bioreactor
Bradford, Eric Christopher; Imsland, Lars Struen (Chapter, 2017)Nonlinear model predictive control is a popular control approach for highly nonlinear and unsteady state processes, which however can fail due to unaccounted uncertainties. This paper proposes to apply a sample-average ... -
Extrusion Cycle Optimization
Gabrielsen, Trym Arve Lund (Master thesis, 2023)Ved å utvikle presis kontollteknologi for ekstruderingsprosesser, skal forskningprosjektet High Precision Extrusion Temperature Control through Digital Technology (ExtruTeC) møte den økende etterspørselen av høykvalitetsprofiler ... -
Fault diagnosis of downhole drilling incidents using adaptive observers and statistical change detection
Willersrud, Anders; Blanke, Mogens; Imsland, Lars Struen; Pavlov, Alexey (Journal article; Peer reviewed, 2015)Downhole abnormal incidents during oil and gas drilling cause costly delays, and may also potentially lead to dangerous scenarios. Different incidents will cause changes to different parts of the physics of the process. ... -
Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control
Fonseca Ivo, Otávio; Imsland, Lars Struen (Peer reviewed; Journal article, 2022)Offshore discharges of produced water (PW) is heavily regulated by government authorities through flow-weighted mean concentration (FWMC). To cope with regulations, treatment facilities are commissioned to reduce the oil ... -
Hierarchical nonlinear model predictive control of offshore hybrid power systems
Hoang, Kiet Tuan; Knudsen, Brage Rugstad; Imsland, Lars Struen (Peer reviewed; Journal article, 2022)This paper presents an approach for controlling ofshore hybrid power systems consisting of gas turbines, offshore wind, and batteries for satisfying an exogenous power demand. A hierarchical controller is developed comprising ... -
Identifiability and physical interpretability of hybrid, gray-box models - a case study
Hotvedt, Mathilde; Grimstad, Bjarne Andre; Imsland, Lars Struen (Journal article; Peer reviewed, 2021)Model identifiability concerns the uniqueness of uncertain model parameters to be estimated from available process data and is often thought of as a prerequisite for the physical interpretability of a model. Nevertheless, ... -
Implementation of a Miniature Autonomous Directional Drilling Rig
Ness, Jarle (Master thesis, 2022)Several industries, including the oil and gas industry, are moving toward digitalization and automated systems in an effort to improve safety and efficiency. The Society of Petroleum Engineers (SPE) and Drilling System ... -
Implementation of a Miniature Autonomous Directional Drilling Rig With Nonlinear Model Predictive Trajectory Control
Steinstø, Magnus (Master thesis, 2021)Petroleumsindustrien har interesse av økt automasjon for å forbedre sikkerhet, redusere kostnader og øke effektivitet. Full-autonome boreoperasjoner kan forbedre sikkerhet ved å redusere antall mennesker i nærheten av ... -
Improved predictions from measured disturbances in linear model predictive control
Binder, Benjamin Julian Tømte; Johansen, Tor Arne; Imsland, Lars Struen (Journal article; Peer reviewed, 2019)Measured disturbances are often included in model predictive control (MPC) formulations to obtain better predictions of the future behavior of the controlled system, and thus improve the control performance. In the prediction ... -
Incident detection and isolation in drilling using analytical redundancy relations
Willersrud, Anders; Blanke, Mogens; Imsland, Lars Struen (Journal article; Peer reviewed, 2015-08)Early diagnosis of incidents that could delay or endanger a drilling operation for oil or gas is essential to limit field development costs. Warnings about downhole incidents should come early enough to allow intervention ... -
Integration of maintenance scheduling and planning for large-scale asset fleets
Schulze Spüntrup, Frederik; Ave, Giancarlo Dalle; Imsland, Lars Struen; Harjunkoski, Iiro (Journal article; Peer reviewed, 2021)Large fleets of engineering assets that are subject to ongoing degradation are posing the challenge of how and when to perform maintenance. For a given case study, this paper proposes a formulation for combined scheduling ... -
Investigation of the Model Structure for Low-Order Grey-Box Modelling of Residential Buildings
Yu, Xingji; Georges, Laurent; Knudsen, Michael; Sartori, Igor; Imsland, Lars Struen (Chapter, 2019)Model Predictive Control (MPC) is a key technology to activate the building energy flexibility. A reliable control-based model should be developed for each specific building. The structure of grey-box models is usually ... -
Iterative algorithms for computing the feedback Nash equilibrium point for positive systems
Ivanov, Ivan; Imsland, Lars Struen; Bogdanova, Boryana (Journal article; Peer reviewed, 2017)The paper studies N-player linear quadratic differential games on an infinite time horizon with deterministic feedback information structure. It introduces two iterative methods (the Newton method as well as its accelerated ... -
Light-Weight MPC
Tvinnereim, Geir Ola (Master thesis, 2023)Modell-prediktiv regulering har vorte eit viktig verktøy i moderne industri. Mykje på grunn av dugleiken til å optimalt styre avanserte system. Ved å ta prediksjonar og systembegrensingar i betraktning kan styringslova ... -
Linear Model Predictive Control of a 3 DOF Helicopter
Sollie, Heidi-Irene Harvey (Master thesis, 2019)Denne oppgaven presenterer implementasjonen av lineær modellprediktiv regulering (MPR) av et modellhelikopter med tre frihetsgrader, der pitch og høyden til helikopteret er brukt som pådrag for å styre systemet til ... -
Machine Learning for Automatic Classification of Wind Turbines
Waaga, Espen (Master thesis, 2019)Ettersom vindparker vokser eksponentielt, er det nødvendig med økende grad av automatisk klassifisering av vindturbiner. Klyngeteknikker for å behandle datastrømmer i sanntid for alle de enkelte vindturbinene i drift er ... -
Model Predictive Control of multi-rotor wind turbines
Urdal, Jørgen (Master thesis, 2020)Skalering av konvensjonelle vindturbiner for å imøtekomme det økende kraftbehovet kommer med en rekke utfordringer. Ved å skalere vindturbiner øker effekten med kvadratet, mens vekten øker med kuben til rotorradiusen. Et ...