The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A state space model of a dynamical system is commonly obtained from algebraic handling of its physic equations, which involve often-approximate parameter values due to imperfect knowledge of system components or variable parameters in time. These parameters are referred to as uncertainties. The modelling of uncertain systems is relevant in stability analysis methods such as Lyapunov theory. In addition,...
This paper presents a Linear Parameter Varying (LPV) model of a scalar-controlled photovoltaic pumping system. The considered uncertainty is the temperature that affects the overall model. It is taken under an affine structure. For the control of the system, V/f strategy is chosen in a closed loop. The approach is proved to enhance good results. Stability is reached following the simulation of the...
The purpose of this paper is to present the LPV affine modeling of a Wind Energy Conversion System driven DFIG. It also deals with the analysis and the simulation of the established model. For that, starting from the system's electrical equations, we demonstrate the obtaining of the uncertain state space model of the DFIG. Then, we define a method that allows giving directly the variation range of...
In this paper, the problem consists in developing a new robust stability condition for Linear Parameter Varying (LPV) continuous systems, under polytopic uncertainty structure. Using Parameter Dependent Lyapunov functions with (PDLFs) particular forms is the main skill. The article hinges upon an analysis stability test for polytopic uncertain systems. Also, we implement a novel formulation for the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.