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In this paper we calculate probabilistic estimates for the size of an area a single unmanned aerial vehicle (UAV) can expect to monitor when tracking multiple objects. The objects are assumed to move according to a linear velocity model with Gaussian process noise. We use a Kalman filter to estimate the position of the objects. By using the covariance matrix of the Kalman filter, we can derive the...
An input estimation problem to distinguish between an oscillating and a non-oscillating input is considered. This problem can be encountered in marine motion estimation problems. In this article, an iceberg drift problem is considered. Iceberg motion is driven by uncertain wind, mean current and wind induced inertial current. A moving horizon estimator is proposed solving an input estimation problem...
A model predictive controller (MPC) for load frequency control (LFC) of an interconnected power system is investigated. The MPC is based on a simplified system model of the Nordic power system, and it takes into account limitations on tie-line power flow, generation capacity, and generation rate of change. The participation factors for each generator are optimization variables, and suggestions are...
A set-stabilizing constrained state feedback controller for a class of nonlinear positive systems is presented. The controller is applied to stabilization of a gas-lifted oil well, and simulations using a rigorous multi-phase flow simulator (OLGA®2000) illustrates the use of the controller.
Thermoacoustic instabilities in combustion processes have received considerable of attention in recent years. Coupling between heat release from the flame and acoustic, causes large high frequency pressure oscillations that are unwanted. The most promising way to stabilize such a system, is to perturb the system by injecting small amounts of gas close to the flame. To allow the injected gas to mix...
This paper presents a moving horizon estimation (MHE) approach for estimating flow and pressure inside the annulus during managed pressure drilling (MPD). MPD is an advanced pressure control method that is used to precisely control the annular pressure throughout the wellbore in oil well drilling. The MPD model, which is a hyperbolic-type partial differential equation (PDE), is a hydraulic model based...
This paper presents a case study of nonlinear model predictive control (NMPC) applied to a benchmark nonlinear boiler model. The motivation for NMPC is that if the controlled plant exhibits nonlinear behavior, a linear controller based on a linearized model may often be unable to achieve satisfactory performance. The case study in this paper, a power plant boiler, exhibits significant nonlinearities...
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