Sökning: "Extremum Seeking Control"
Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Extremum Seeking Control.
Sammanfattning : In many applications, there is a variable that indicates the overall performance and that must be maximized, such as the output of a hydro power turbine or a mineral processing plant, or that must be minimized, such as CO2 emissions or the consumption of resources. Extremization of this variable (maximization or minimization) through adjusting the influencing manipulated variables is occasionally required without prior knowledge of the optimal values of the manipulated variables or of the optimized variable. LÄS MER
Sammanfattning : Data networks are an important part in an increasing number of applications with real-time and reliability requirements. To meet these demands a variety of approaches have been proposed. Forward error correction, which adds redundancy to the communicated data, is one of them. LÄS MER
Sammanfattning : Due to environmental aspects and emission legislations the automotive industry is striving towards more efficient combustion engines. Many engine control systems in production today are based on look-up tables which are calibrated for different operating conditions. LÄS MER
Sammanfattning : The work presented here is based on two papers, both pertaining to perturbation-based control strategies in industrial fed-batch fermentation processes. The first paper describes a new control strategy for avoiding overflow metabolism in the exponential growth phase of a fermentation, based on analysis of the frequency spectrum of the dissolved oxygen measurement following a periodic perturbation in the feed rate. LÄS MER
5. On Real-Time Optimization using Extremum Seeking Control and Economic Model Predictive Control : With Applications to Bioreactors and Paper Machines
Sammanfattning : Process optimization is used to improve the utility and the economic performance of industrial processes, and is as such central in most automation strategies. In this thesis, two feedback-based methods for online process optimization are considered: Extremum seeking control (ESC), a classic model-free method used for steady-state optimization which dates back to the early 1900's, and economic model predictive control (EMPC), a more recent method which utilizes a model to dynamically optimize the closed-loop process economics in real time. LÄS MER