• Bio‐inspired hybrid BFOA‐PSO algorithm‐based reactive power controller in a standalone wind‐diesel power system 

      Wagle, Raju; Sharma, Pawan; Charu, Sharma; Gjengedal, Terje; PRADHAN, CHITTARANJAN (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-05)
      With an increase in the penetration of renewable energy sources such as wind into the power systems, the operation and control of voltage/reactive power have become more complicated and challenging than ever. As a result, the reactive power imbalance between reactive power generation and demand instigates a reduction in system voltage stability. To deal with the aforesaid scenarios, automatic voltage ...
    • Cascade-Based Controlled Attitude Synchronization and Tracking of Spacecraft in Leader-Follower Formation 

      Schlanbusch, Rune; Nicklasson, Per Johan; Loria, Antonio (Journal article; Peer reviewed; Tidsskriftartikkel, 2011)
    • Cascade-Based Controlled Attitude Synchronization and Tracking of Spacecraft in Leader-Follower Formation 

      Schlanbusch, Rune; Loria, Antonio; Nicklasson, Per Johan (Journal article; Tidsskriftartikkel; Peer reviewed, 2011-05-05)
      We propose controllers for leader-follower attitude synchronization of spacecraft formations in the presence of disturbances, that is, the leader spacecraft is controlled to follow a given reference, while a follower spacecraft is controlled to synchronize its motion with the leader’s. In the ideal disturbance-free scenario, we show that synchronization takes place asymptotically. Moreover, we ...
    • Cascaded Model Predictive Control of Grid Connected Converter with LCL Filter 

      Hoff, Bjarte (Peer reviewed; Book; Chapter, 2018-12-31)
      This paper presents a control strategy for grid connected voltage source converters with LCL filter, based on a cascade of two model predictive controllers (MPC). Despite the attention MPC has received in the research community over the last years, there are still raised question about what advantages such control methods can offer, compared to existing established control strategies. The cascaded ...
    • Characteristics of fragmented aurora-like emissions (FAEs) observed on Svalbard 

      Dreyer, Joshua; Partamies, Noora; Whiter, Daniel; Ellingsen, Pål Gunnar; Baddeley, Lisa; Buchert, Stephan C. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-04)
      This study analyses the observations of a new type of small-scale aurora-like feature, which is further referred to as fragmented aurora-like emission(s) (FAEs). An all-sky camera captured these FAEs on three separate occasions in 2015 and 2017 at the Kjell Henriksen Observatory near the arctic town of Longyearbyen, Svalbard, Norway. A total of 305 FAE candidates were identified. They seem to appear ...
    • Charging technology for small maritime vessels 

      Hoff, Bjarte (Conference object, 2019-01-21)
    • A Class-E-Based Resonant AC-DC Converter With Inherent PFC Capability 

      Al-Sallami, Hussein; M. Ammar, Ahmed; Nour, Yasser; A. E. Andersen, Michael (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-22)
      This paper investigates the use of the class-E inverter for power factor correction (PFC) applications. Analytical and state-space models are derived showing the class-E inverter’s capability of achieving inherent PFC operation with a constant duty cycle. The inherent PFC operation limits the controller responsibility to the regulation of the output voltage, which is key for resonant converters with ...
    • Classification of Bulk Cargo Types Stored Openly at Ports Using CNN 

      Koirala, Madhu; Ellingsen, Pål Gunnar; Ådland, Roar Os (Chapter; Bokkapittel, 2023)
      In this paper, we present a novel concept of tracking cargoes at open ports using remote sensing images and convolution neural network (CNN) to classify various dry bulk commodities. The dataset used is prepared using Sentinel-2 atmospherically corrected (Sentinel-2 L2A) images covering 12 spectral bands. There are total 4995 labeled and geo-referenced images for four different cargoes-bauxite, ...
    • Classification of bulk cargo types stored openly at ports using CNN 

      Koirala, Madhu; Ellingsen, Pål Gunnar; Ådland, Roar Os (Chapter; Bokkapittel, 2023-10-20)
      In this paper, we present a novel concept of tracking cargoes at open ports using remote sensing images and convolution neural network (CNN) to classify various dry bulk commodities. The dataset used is prepared using Sentinel-2 atmospherically corrected (Sentinel-2 L2A) images covering 12 spectral bands. There are total 4995 labeled and geo-referenced images for four different cargoes-bauxite, coal, ...
    • A Co-simulation Procedure for Optimal Reactive Power Control in Active Distribution Networks 

      Tricarico, Gioacchino; Wagle, Raju; Martinez, Jesus Castro; Gonzalez-Longatt, Francisco; Dicorato, Maria; Forte, Giusenne; Rueda, Jose Luis (Chapter; Bokkapittel, 2023)
      Distribution grids are subject to a drastic evolution in their operating conditions due to the high integration of renewable energy resources (RES) and their ability to regulate voltage. To cope with this issue, modern solar photovoltaic (PV) systems are equipped with smart inverters enabled with communication capabilities that allow the coordinated operation to offer services such as controlling ...
    • Co-simulation-based optimal reactive power control in smart distribution network 

      Wagle, Raju; Pham, Le Nam Hai; Tricarico, Gioacchino; Sharma, Pawan; Rueda, Jose Luis; Gonzalez-Longatt, Francisco (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-30)
      The increasing integration of distributed energy resources such as photovoltaic (PV) systems into distribution networks introduces intermittent and variable power, leading to high voltage fluctuations. High PV integration can also result in increased terminal voltage of the network during periods of high PV generation and low load consumption. These problems can be solved by optimal utilization ...
    • Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas 

      Naz, Fareena; McCann, Conor; Fadim, Muhammad; Cao, Tuan-Vu; Hunter, Ruth; Nguyen, Trung Viet; Nguyen, Long D.; Duong, Trung Q. (Journal article; Tidsskriftartikkel, 2023-06-23)
      Rapid growth in urbanization and industrialization leads to an increase in air pollution and poor air quality. Because of its adverse effects on the natural environment and human health, it’s been declared a “silent public health emergency”. To deal with this global challenge, accurate prediction of air pollution is important for stakeholders to take required actions. In recent years, deep learning-based ...
    • A Comparative Study of Different Control Structures for Flight Control with New Results 

      Oland, Espen; Kristiansen, Raymond; Gravdahl, Jan Tommy (Peer reviewed; Book; Chapter, 2018-10-24)
      This paper presents several different control structures that facilitate flight control and does a comparison between them. Specifically, this paper considers command-filtered backstepping, nonlinear dynamic inversion (NDI), and a new decoupled approach that decouples the rotational and translational dynamics by estimating the higher order derivatives of the angle of attack and sideslip angle. The ...
    • A computational intelligence-based maximum power point tracking for photovoltaic power generation system with small‐signal analysis 

      Senapati, Manoj Kumar; Pradhan, Chittaranjan; Calay, Rajnish Kaur (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-01)
      There are multiple peak functions in its output power characteristic curve of a photovoltaic (PV) array under partial shading conditions (PSCs), the perturb and observe (P&O) may fail to track the global maximum power point (GMPP). Therefore, a reliable maximum power point tracking (MPPT) technique is essential to track the GMPP within an appropriate time. This article proposes a hybrid technique ...
    • Concise Definition of the Overcurrent Protection System for CIGRE European Medium Voltage Benchmark Network 

      Pham, Le Nam Hai; Wagle, Raju; Gonzalez-Longatt, Francisco (Chapter; Bokkapittel, 2023-03-28)
      In the significant widespread transition towards clean energies, there has been an unstoppable trend in integrating renewable energy sources (RSs) in distribution networks. However, the massive penetration of integrated multisources into conventional distribution systems may create several operational problems, such as malfunctioning protection systems. This paper concisely defines the setting for ...
    • Conformal Transformation Analysis of Capacitive Wireless Charging 

      Al-Sallami, Hussein Mahdi Yaseen; Hoff, Bjarte; Ellingsen, Pål Gunnar; Østrem, Trond (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-30)
      This paper studies the capacitive coupling in a capacitive power transfer (CPT) system designed for charging applications. It proposes mathematical models using the conformal transformation for calculating air-gapped and underwater capacitance and verifies the proposed models using COMSOL multiphysics and measurements. The measured results show that we can achieve nano-farad capacitance ranges ...
    • Control of Spacecraft Formation with Disturbance Rejection and Exponential Gains 

      Schlanbusch, Rune; Kristiansen, Raymond (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
      We address the problem of state feedback translational motion control of a spacecraft formation through a modified sliding surface controller using variable gains and I^2 action for disturbance rejection. The exponential varying gains ensure faster convergence of the state trajectories during attitude maneuver while keeping the gains small (and the system less stiff) for station keeping. Integral ...
    • Controlling a Chain of Integrators with Constrained Actuation Using Exponential Activation Functions 

      Oland, Espen; Kristiansen, Raymond (Peer reviewed; Chapter; Bokkapittel, 2019-10-24)
      This paper shows how to control a chain of integrators with constrained actuation by using exponential activation functions. Specifically, it shows how the control law can be decomposed into several parts that can be activated as they are required, resulting in a simple control law that is able to make the states converge fast to zero.
    • Coordinated Power Management and Control of Standalone PV-Hybrid System with Modified IWO-Based MPPT 

      Pradhan, Chittaranjan; Senapati, Manoj Kumar; Malla, Siva Ganesh; Nayak, Paresh Kumar; Gjengedal, Terje (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-14)
      To augment the photovoltaic (PV) power generation conversion, a maximum power point tracking (MPPT) technique plays a very significant role. This article introduces a hybrid MPPT algorithm integrating modified invasive weed optimization (MIWO) and perturb and observe (P&O) technique under the rapid weather change and partial shading scenarios for the efficient extraction of the maximum power from ...
    • Curvature Continuous Path Generation for UAVs based on Generalized Expo-Rational B-Splines 

      Andersen, Tom Stian; Bouzidi, Ghada; Kristiansen, Raymond (Peer reviewed; Book; Chapter, 2018)
      This paper proposes a new path-planning algorithm based on GERBS to generate curvature continuous paths. The algorithm blends between a set of local curves generating a global smooth path which also interpolates the midpoint of the curves. Numerical examples are provided which demonstrates the potential of the proposed algorithm.